Ling Wang

Affiliations:
  • Tsinghua University, Department of Automation, TNList, Beijing, China (PhD 1999)


According to our database1, Ling Wang authored at least 167 papers between 2005 and 2021.

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Bibliography

2021
A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times.
IEEE Trans. Cybern., 2021

Hybrid Evolutionary Scheduling for Energy-Efficient Fog-Enhanced Internet of Things.
IEEE Trans. Cloud Comput., 2021

Multiobjective Differential Evolution Algorithm for Solving Robotic Cell Scheduling Problem With Batch-Processing Machines.
IEEE Trans Autom. Sci. Eng., 2021

A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem.
Swarm Evol. Comput., 2021

PCA-assisted reproduction for continuous multi-objective optimization with complicated Pareto optimal set.
Swarm Evol. Comput., 2021

An effective memetic algorithm for UAV routing and orientation under uncertain navigation environments.
Memetic Comput., 2021

Guest Editorial: Special issue on memetic algorithms with learning strategy.
Memetic Comput., 2021

An effective multi-objective evolutionary algorithm for solving the AGV scheduling problem with pickup and delivery.
Knowl. Based Syst., 2021

A path relinking enhanced estimation of distribution algorithm for direct acyclic graph task scheduling problem.
Knowl. Based Syst., 2021

Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization.
Inf. Sci., 2021

Enhanced pigeon inspired optimisation approach for Agile Earth observation satellite scheduling.
Int. J. Bio Inspired Comput., 2021

Data-Driven Heuristic Assisted Memetic Algorithm for Efficient Inter-Satellite Link Scheduling in the BeiDou Navigation Satellite System.
IEEE CAA J. Autom. Sinica, 2021

An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing.
Future Gener. Comput. Syst., 2021

A hierarchical knowledge guided backtracking search algorithm with self-learning strategy.
Eng. Appl. Artif. Intell., 2021

An XGBoost-enhanced fast constructive algorithm for food delivery route planning problem.
Comput. Ind. Eng., 2021

A clustering-based differential evolution with different crowding factors for nonlinear equations system.
Appl. Soft Comput., 2021

Multidimensional Estimation of Distribution Algorithm for Distributed No-Wait Flow-Shop Scheduling Problem with Sequence-Independent Setup Times and Release Dates.
Proceedings of the Intelligent Computing Theories and Application, 2021

An Improved Lagrangian Relaxation Algorithm for Solving the Lower Bound of Production Logistics.
Proceedings of the Intelligent Computing Theories and Application, 2021

Solving Online Food Delivery Problem via an Effective Hybrid Algorithm with Intelligent Batching Strategy.
Proceedings of the Intelligent Computing Theories and Application, 2021

Hybrid Grey Wolf Optimizer for Vehicle Routing Problem with Multiple Time Windows.
Proceedings of the Intelligent Computing Theories and Application, 2021

A Novel Evolutionary Algorithm with Adaptation Mechanism for Fuzzy Permutation Flow-Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
A Knowledge-Based Cooperative Algorithm for Energy-Efficient Scheduling of Distributed Flow-Shop.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Solving Nonlinear Equations System With Dynamic Repulsion-Based Evolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution.
IEEE Trans. Syst. Man Cybern. Syst., 2020

A Lightweight Appearance Quality Assessment System Based on Parallel Deep Learning for Painted Car Body.
IEEE Trans. Instrum. Meas., 2020

A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2020

Paradoxes in Numerical Comparison of Optimization Algorithms.
IEEE Trans. Evol. Comput., 2020

A Data-Driven Parallel Scheduling Approach for Multiple Agile Earth Observation Satellites.
IEEE Trans. Evol. Comput., 2020

Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs.
IEEE Trans. Cybern., 2020

Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems.
IEEE Trans. Cybern., 2020

An Improved Ant Colony Optimization algorithm to the Periodic Vehicle Routing Problem with Time Window and Service Choice.
Swarm Evol. Comput., 2020

Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition.
Swarm Evol. Comput., 2020

Multi-objective based scheduling algorithm for sudden drinking water contamination incident.
Swarm Evol. Comput., 2020

A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop.
Knowl. Based Syst., 2020

A decomposition-based differential evolution with reinitialization for nonlinear equations systems.
Knowl. Based Syst., 2020

Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices.
Knowl. Based Syst., 2020

Behavior of crossover operators in NSGA-III for large-scale optimization problems.
Inf. Sci., 2020

Clonal selection based intelligent parameter inversion algorithm for prestack seismic data.
Inf. Sci., 2020

Modified NSGA-III for sensor placement in water distribution system.
Inf. Sci., 2020

An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion.
Expert Syst. Appl., 2020

Memetic niching-based evolutionary algorithms for solving nonlinear equation system.
Expert Syst. Appl., 2020

Effective algorithms for single-machine learning-effect scheduling to minimize completion-time-based criteria with release dates.
Expert Syst. Appl., 2020

Bound-guided hybrid estimation of distribution algorithm for energy-efficient robotic assembly line balancing.
Comput. Ind. Eng., 2020

A collaborative LSHADE algorithm with comprehensive learning mechanism.
Appl. Soft Comput., 2020

Two Fast Heuristics for Online Order Dispatching.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Two-stage Algorithm for Fuzzy Online Order Dispatching Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

An Effective Iterated Greedy Algorithm for Online Route Planning Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Hybrid Differential Evolution Algorithm for the Online Meal Delivery Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold.
IEEE Trans. Cybern., 2019

A Multi Ant System based hybrid heuristic algorithm for Vehicle Routing Problem with Service Time Customization.
Swarm Evol. Comput., 2019

A collaborative optimization algorithm for energy-efficient multi-objective distributed no-idle flow-shop scheduling.
Swarm Evol. Comput., 2019

Elastic parameter inversion problem based on brain storm optimization algorithm.
Memetic Comput., 2019

Thematic issue on "advanced intelligent scheduling algorithms for smart manufacturing systems".
Memetic Comput., 2019

A distributed permutation flowshop scheduling problem with the customer order constraint.
Knowl. Based Syst., 2019

Fuzzy neighborhood-based differential evolution with orientation for nonlinear equation systems.
Knowl. Based Syst., 2019

Large-scale medical examination scheduling technology based on intelligent optimization.
J. Comb. Optim., 2019

Decoding methods for the flow shop scheduling with peak power consumption constraints.
Int. J. Prod. Res., 2019

An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time.
Int. J. Prod. Res., 2019

A memetic algorithm with competition for the capacitated green vehicle routing problem.
IEEE CAA J. Autom. Sinica, 2019

Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem.
Expert Syst. Appl., 2019

Comprehensive learning pigeon-inspired optimization with tabu list.
Sci. China Inf. Sci., 2019

A decomposition-based matheuristic for supply chain network design with assembly line balancing.
Comput. Ind. Eng., 2019

An EEG-Based Multi-Classification Method of Braking Intentions for Driver-Vehicle Interaction.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem.
Proceedings of the Intelligent Computing Theories and Application, 2019

Single-Machine Green Scheduling Problem of Multi-speed Machine.
Proceedings of the Intelligent Computing Theories and Application, 2019

Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan.
Proceedings of the Intelligent Computing Theories and Application, 2019

A Deadline-Aware Estimation of Distribution Algorithm for Resource Scheduling in Fog Computing Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Bi-Strategy Based Optimization Algorithm for the Dynamic Capacitated Electric Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Probability Model-based Memetic Algorithm for Distributed Heterogeneous Flow-Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

An improved Q-learning based rescheduling method for flexible job-shops with machine failures.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

An Iterated Greedy Algorithm for Distributed Hybrid Flowshop Scheduling Problem with Total Tardiness Minimization.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Hybrid Evolutionary Algorithm for Integrated Supply Chain Network Design With Assembly Line Balancing.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Iterated Local Search for Steelmaking-refining-Continuous Casting Scheduling Problem.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Green Job Shop Scheduling Problem with Machine at Different Speeds using a multi-objective grey wolf optimization algorithm<sup>*</sup>.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
A Collaborative Multiobjective Fruit Fly Optimization Algorithm for the Resource Constrained Unrelated Parallel Machine Green Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2018

A knowledge-guided multi-objective fruit fly optimization algorithm for the multi-skill resource constrained project scheduling problem.
Swarm Evol. Comput., 2018

A multi-model estimation of distribution algorithm for energy efficient scheduling under cloud computing system.
J. Parallel Distributed Comput., 2018

Multi-clustering via evolutionary multi-objective optimization.
Inf. Sci., 2018

Solving randomized time-varying knapsack problems by a novel global firefly algorithm.
Eng. Comput., 2018

Opposition-based learning monarch butterfly optimization with Gaussian perturbation for large-scale 0-1 knapsack problem.
Comput. Electr. Eng., 2018

A Modified MOEA/D for Energy-efficient Flexible Job Shop Scheduling Problem.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Short-Term Load Forecasting Based on RBM and NARX Neural Network.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Improved Sub-gradient Algorithm for Solving the Lower Bound of No-Wait Flow-Shop Scheduling with Sequence-Dependent Setup Times and Release Dates.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Carbon-Efficient Scheduling of Blocking Flow Shop by Hybrid Quantum-Inspired Evolution Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 2018

Extremized PICEA-g for Nadir Point Estimation in Many-Objective Optimization.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Two Possible Paradoxes in Numerical Comparisons of Optimization Algorithms.
Proceedings of the Intelligent Computing Theories and Application, 2018

An Improved NSGA-II based Algorithm for Economical Hot Rolling Batch Scheduling under Time-sensitive Electricity Prices.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017
A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem.
Swarm Evol. Comput., 2017

Teaching-learning-based optimization algorithm for multi-skill resource constrained project scheduling problem.
Soft Comput., 2017

Satellite observation scheduling with a novel adaptive simulated annealing algorithm and a dynamic task clustering strategy.
Comput. Ind. Eng., 2017

A Cooperative Algorithm for Energy-efficient Scheduling of Distributed No-wait Flowshop.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A discrete teaching-learning-based optimisation algorithm for hybrid flowshop scheduling problem with peak power consumption constraints.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Modified multiobjective evolutionary algorithm based on decomposition for low-carbon scheduling of distributed permutation flow-shop.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A correlation-based bi-partition hierarchical clustering method for mode identification of multimode processes.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A parallel multi-objective cooperative co-evolutionary algorithm with changing variables.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A t-level driven search for estimation of distribution algorithm in solving task graph allocation to multiprocessors.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
An Estimation of Distribution Algorithm-Based Memetic Algorithm for the Distributed Assembly Permutation Flow-Shop Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2016

A two-stage adaptive fruit fly optimization algorithm for unrelated parallel machine scheduling problem with additional resource constraints.
Expert Syst. Appl., 2016

A Competitive Memetic Algorithm for Carbon-Efficient Scheduling of Distributed Flow-Shop.
Proceedings of the Intelligent Computing Theories and Application, 2016

A Pareto based fruit fly optimization algorithm for task scheduling and resource allocation in cloud computing environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An effective estimation of distribution algorithm for solving uniform parallel machine scheduling problem with precedence constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A hybrid discrete cuckoo search for distributed permutation flowshop scheduling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A knowledge-based multi-agent evolutionary algorithm for semiconductor final testing scheduling problem.
Knowl. Based Syst., 2015

A bi-population EDA for solving the no-idle permutation flow-shop scheduling problem with the total tardiness criterion.
Knowl. Based Syst., 2015

A hybrid estimation of distribution algorithm for the semiconductor final testing scheduling problem.
J. Intell. Manuf., 2015

An effective teaching-learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time.
Neurocomputing, 2015

An order-based estimation of distribution algorithm for stochastic hybrid flow-shop scheduling problem.
Int. J. Comput. Integr. Manuf., 2015

A multi-agent optimization algorithm for resource constrained project scheduling problem.
Expert Syst. Appl., 2015

2014
A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem.
Knowl. Based Syst., 2014

Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm.
Expert Syst. Appl., 2014

Grouped Fruit-Fly Optimization Algorithm for the No-Wait Lot Streaming Flow Shop Scheduling.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

An Effective Estimation of Distribution Algorithm for Multi-track Train Scheduling Problem.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

An iterated greedy algorithm for the hybrid flowshop problem with makespan criterion.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, 2014

An enhanced non-dominated sorting based fruit fly optimization algorithm for solving environmental economic dispatch problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A co-evolutionary teaching-learning-based optimization algorithm for stochastic RCPSP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Compact estimation of distribution algorithm for semiconductor final testing scheduling problem.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

A competitive memetic algorithm for the distributed flow shop scheduling problem.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2013
A Pareto-Archived Estimation-of-Distribution Algorithm for Multiobjective Resource-Constrained Project Scheduling Problem.
IEEE Trans. Engineering Management, 2013

A High Performing Memetic Algorithm for the Flowshop Scheduling Problem With Blocking.
IEEE Trans Autom. Sci. Eng., 2013

An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process.
IEEE Trans Autom. Sci. Eng., 2013

A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem.
Knowl. Based Syst., 2013

An estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013

An effective shuffled frog-leaping algorithm for the flexible job-shop scheduling problem.
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2013

2012
A novel group search optimizer for multi-objective optimization.
Expert Syst. Appl., 2012

An effective hybrid EDA-based algorithm for solving multidimensional knapsack problem.
Expert Syst. Appl., 2012

A bi-population based estimation of distribution algorithm for the flexible job-shop scheduling problem.
Comput. Ind. Eng., 2012

2011
An effective hybrid discrete differential evolution algorithm for the flow shop scheduling with intermediate buffers.
Inf. Sci., 2011

Parameter identification of chaotic systems by hybrid Nelder-Mead simplex search and differential evolution algorithm.
Expert Syst. Appl., 2011

An effective hybrid biogeography-based optimization algorithm for parameter estimation of chaotic systems.
Expert Syst. Appl., 2011

A differential evolution algorithm with self-adapting strategy and control parameters.
Comput. Oper. Res., 2011

A hybrid harmony search algorithm for the blocking permutation flow shop scheduling problem.
Comput. Ind. Eng., 2011

A chaotic harmony search algorithm for the flow shop scheduling problem with limited buffers.
Appl. Soft Comput., 2011

A unified framework for population-based metaheuristics.
Ann. Oper. Res., 2011

An Effective Artificial Bee Colony Algorithm for Multi-objective Flexible Job-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

An Effective Shuffled Frog Leaping Algorithm for Solving Hybrid Flow-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011

A Hybrid Algorithm Based on Simplex Search and Differential Evolution for Resource-Constrained Project Scheduling Problem.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011

An Estimation of Distribution Algorithm for the Flexible Job-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

A DE Based Variable Iterated Greedy Algorithm for the No-Idle Permutation Flowshop Scheduling Problem with Total Flowtime Criterion.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

2010
Minimizing the total flow time in a flow shop with blocking by using hybrid harmony search algorithms.
Expert Syst. Appl., 2010

A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems.
Comput. Oper. Res., 2010

An effective hybrid particle swarm optimization for batch scheduling of polypropylene processes.
Comput. Chem. Eng., 2010

Chaotic particle swarm optimization for synchronization of finite dimensional Hénon dynamical system.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Control of Hénon chaotic systems by chaotic particle swarm optimization.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
Multi-objective no-wait flow-shop scheduling with a memetic algorithm based on differential evolution.
Soft Comput., 2009

An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers.
Comput. Oper. Res., 2009

A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems.
Comput. Oper. Res., 2009

A DE-based approach to no-wait flow-shop scheduling.
Comput. Ind. Eng., 2009

An Effective Hybrid Algorithm Based on Simplex Search and Differential Evolution for Global Optimization.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

Differential Evolution with Level Comparison for Constrained Optimization.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

Hybrid algorithms based on harmony search and differential evolution for global optimization.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008
Quantum-inspired genetic algorithms for flow shop scheduling.
Proceedings of the Quantum Inspired Intelligent Systems, 2008

An Effective PSO-Based Hybrid Algorithm for Multiobjective Permutation Flow Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Part A, 2008

An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers.
Comput. Oper. Res., 2008

Differential evolution method for stochastic flow shop scheduling with limited buffers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
An Effective PSO-Based Memetic Algorithm for Flow Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Fault diagnosis of nonlinear systems based on hybrid PSOSA optimization algorithm.
Int. J. Autom. Comput., 2007

Designing Neural Networks Using PSO-Based Memetic Algorithm.
Proceedings of the Advances in Neural Networks, 2007

An Intelligent Differential Evolution Algorithm for Designing Trading-Ratio System of Water Market.
Proceedings of the Advances in Neural Networks, 2007

2006
Particle swarm optimization for function optimization in noisy environment.
Appl. Math. Comput., 2006

Blending Scheduling Under Uncertainty Based on Particle Swarm Optimization with Hypothesis Test.
Proceedings of the Computational Intelligence and Bioinformatics, 2006

A Hybrid Quantum-Inspired Genetic Algorithm for Multi-objective Scheduling.
Proceedings of the Intelligent Computing, 2006

Improved Differential Evolution with Dynamic Population Size.
Proceedings of the Intelligent Computing, 2006

2005
Designing Neural Networks Using Hybrid Particle Swarm Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Quantum-Inspired Genetic Algorithm for Scheduling Problems.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Hybrid Quantum-Inspired Genetic Algorithm for Flow Shop Scheduling.
Proceedings of the Advances in Intelligent Computing, 2005

Hybrid Particle Swarm Optimization for Flow Shop Scheduling with Stochastic Processing Time.
Proceedings of the Computational Intelligence and Security, International Conference, 2005


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