Daryl Essam

According to our database1, Daryl Essam authored at least 122 papers between 2002 and 2019.

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2019
Multi-method based algorithm for multi-objective problems under uncertainty.
Inf. Sci., 2019

A novel differential evolution mapping technique for generic combinatorial optimization problems.
Appl. Soft Comput., 2019

Adaptive simulation budget allocation in Simulation assisted Differential Evolution algorithm.
Appl. Soft Comput., 2019

A mathematical modelling approach for managing sudden disturbances in a three-tier manufacturing supply chain.
Annals OR, 2019

Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis.
IEEE Access, 2019

New Designs of k-means Clustering and Crossover Operator for Solving Traveling Salesman Problems using Evolutionary Algorithms.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Evolutionary Algorithm for Project Scheduling under Irregular Resource Changes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Quantum Differential Evolution: an Investigation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A New Prediction Approach for Dynamic Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A reactive mitigation approach for managing supply disruption in a three-tier supply chain.
J. Intelligent Manufacturing, 2018

A Study of Robustness in Evolutionary Simulation Optimization Algorithm.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Enhanced Differential Grouping for Large Scale Optimization.
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

Deadline-constrained Stochastic Optimization of Resource Provisioning, for Cloud Users.
Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018

Scenario-Based Solution Approach for Uncertain Resource Constrained Scheduling Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Landscape-Based Differential Evolution for Constrained Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Improved United Multi-Operator Algorithm for Solving Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Efficient Differential Evolution Algorithm for Solving 0-1 Knapsack Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Landscape-based adaptive operator selection mechanism for differential evolution.
Inf. Sci., 2017

A local branching heuristic for the open pit mine production scheduling problem.
European Journal of Operational Research, 2017

A quantitative model for disruption mitigation in a supply chain.
European Journal of Operational Research, 2017

Reduced search space mechanism for solving constrained optimization problems.
Eng. Appl. of AI, 2017

Resource constrained project scheduling with uncertain activity durations.
Computers & Industrial Engineering, 2017

On solving periodic re-optimization dynamic vehicle routing problems.
Appl. Soft Comput., 2017

A genetic algorithm for permutation flowshop scheduling under practical make-to-order production system.
AI EDAM, 2017

Uncertainty-aware Optimization of Resource Provisioning, a Cloud End-user Perspective.
Proceedings of the CLOSER 2017, 2017

Multi-method based orthogonal experimental design algorithm for solving CEC2017 competition problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Detectable Genetic Algorithms-Based Techniques for Solving Dynamic Optimisation Problem with Unknown Active Variables.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Constraint Consensus Mutation-Based Differential Evolution for Constrained Optimization.
IEEE Trans. Evolutionary Computation, 2016

Multi-mode resource constrained project scheduling under resource disruptions.
Computers & Chemical Engineering, 2016

Managing risk in production scheduling under uncertain disruption.
AI EDAM, 2016

Two-phase differential evolution framework for solving optimization problems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Exploring the Feasible Space Using Constraint Consensus in Solving Constrained Optimization Problems.
Proceedings of the Artificial Life and Computational Intelligence, 2016

Investigating Multi-Operator Differential Evolution for Feature Selection.
Proceedings of the Artificial Life and Computational Intelligence, 2016

Solving Dynamic Optimisation Problems with Known Changeable Boundaries.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Decomposition-based evolutionary algorithm for large scale constrained problems.
Inf. Sci., 2015

Survey of Uses of Evolutionary Computation Algorithms and Swarm Intelligence for Network Intrusion Detection.
International Journal of Computational Intelligence and Applications, 2015

A real-time order acceptance and scheduling approach for permutation flow shop problems.
European Journal of Operational Research, 2015

A disruption recovery plan in a three-stage production-inventory system.
Computers & OR, 2015

A genetic algorithm for permutation flow shop scheduling under make to stock production system.
Computers & Industrial Engineering, 2015

Managing disruption in an imperfect production-inventory system.
Computers & Industrial Engineering, 2015

A possibilistic environment based particle swarm optimization for aggregate production planning.
Computers & Industrial Engineering, 2015

Training and testing a self-adaptive multi-operator evolutionary algorithm for constrained optimization.
Appl. Soft Comput., 2015

Neurodynamic differential evolution algorithm and solving CEC2015 competition problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Real time disruption management for a two-stage batch production-inventory system with reliability considerations.
European Journal of Operational Research, 2014

A new genetic algorithm for solving optimization problems.
Eng. Appl. of AI, 2014

A self-adaptive combined strategies algorithm for constrained optimization using differential evolution.
Applied Mathematics and Computation, 2014

Solving Dynamic Optimisation Problem with Variable Dimensions.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Managing supply disruption in a three-tier supply chain with multiple suppliers and retailers.
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014

Event Based Approaches for Solving Multi-mode Resource Constraints Project Scheduling Problem.
Proceedings of the Computer Information Systems and Industrial Management, 2014

A decomposition-based algorithm for dynamic economic dispatch problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A memetic algorithm for solving permutation flow shop problems with known and unknown machine breakdowns.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Differential evolution with a constraint consensus mutation for solving optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

United multi-operator evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems.
IEEE Trans. Industrial Informatics, 2013

Differential evolution with multi-constraint consensus methods for constrained optimization.
J. Global Optimization, 2013

Enhancements to the Localized Genetic Algorithm for Large Scale Capacitated Vehicle Routing Problems.
IJAEC, 2013

Self-adaptive differential evolution incorporating a heuristic mixing of operators.
Comp. Opt. and Appl., 2013

A recovery model for a two-echelon serial supply chain with consideration of transportation disruption.
Computers & Industrial Engineering, 2013

Hybrid Evolutionary Algorithm for job scheduling under machine maintenance.
Appl. Soft Comput., 2013

Adaptive Configuration of evolutionary algorithms for constrained optimization.
Applied Mathematics and Computation, 2013

A Disruption Recovery Model in a Production-Inventory System with Demand Uncertainty and Process Reliability.
Proceedings of the Computer Information Systems and Industrial Management, 2013

A memetic algorithm for Permutation Flow Shop Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A genetic algorithm for solving the CEC'2013 competition problems on real-parameter optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Progressive Alignment Method Using Genetic Algorithm for Multiple Sequence Alignment.
IEEE Trans. Evolutionary Computation, 2012

A disruption recovery model for a single stage production-inventory system.
European Journal of Operational Research, 2012

On an evolutionary approach for constrained optimization problem solving.
Appl. Soft Comput., 2012

Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

The Influence of the Number of Initial Feasible Solutions on the Performance of an Evolutionary Optimization Algorithm.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

A methodology for revealing and monitoring the strategies played by neural networks in mind games.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Dependency Identification technique for large scale optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Differential evolution with a mix of Constraint Consenus methods for solving a real-world Optimization Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Memetic multi-topology particle swarm optimizer for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2012 IEEE Congress on Evolutionary Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
On Synergistic Interactions Between Evolution, Development and Layered Learning.
IEEE Trans. Evolutionary Computation, 2011

Multi-operator based evolutionary algorithms for solving constrained optimization problems.
Computers & OR, 2011

Solving the ship inventory routing and scheduling problem with undedicated compartments.
Computers & Industrial Engineering, 2011

Vertical Decomposition with Genetic Algorithm for Multiple Sequence Alignment.
BMC Bioinformatics, 2011

Localized genetic algorithm for vehicle routing problem with time windows.
Appl. Soft Comput., 2011

Multi-heuristics based Genetic Algorithm for solving maritime inventory routing problem.
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011

On computations and strategies for real and artificial systems.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

Differential evolution combined with constraint consensus for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Integrated strategies differential evolution algorithm with a local search for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

GA with a new multi-parent crossover for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
The Role of Explicit Niching and Communication Messages in Distributed Evolutionary Multi-objective Optimization.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010

A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

A Three-Strategy Based Differential Evolution Algorithm for Constrained Optimization.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

DGA: Decomposition with genetic algorithm for multiple sequence alignment.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Evolutionary scheduling with rescheduling option for sudden machine breakdowns.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A Genetic Algorithm with Priority Rules for Solving Job-Shop Scheduling Problems.
Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009

Memetic algorithms for solving job-shop scheduling problems.
Memetic Computing, 2009

A New Method for Simplifying Algebraic Expressions in Genetic Programming Called Equivalent Decision Simplification.
JACIII, 2009

Introducing the Localized Genetic Algorithm for Small Scale Capacitated Vehicle Routing Problems.
INFOR, 2009

Localization for Solving Noisy Multi-Objective Optimization Problems.
Evolutionary Computation, 2009

Local models - an approach to distributed multi-objective optimization.
Comp. Opt. and Appl., 2009

A New Method for Simplifying Algebraic Expressions in Genetic Programming Called Equivalent Decision Simplification.
Proceedings of the Distributed Computing, 2009

2008
Developmental evaluation in Genetic Programming: The TAG-based frame work.
KES Journal, 2008

Analyzing the Simple Ranking and Selection Process for Constrained Evolutionary Optimization.
J. Comput. Sci. Technol., 2008

Interleaving Guidance in Evolutionary Multi-Objective Optimization.
J. Comput. Sci. Technol., 2008

Improved evolutionary algorithms for solving constrained optimization problems with tiny feasible space.
Proceedings of the IEEE International Conference on Systems, 2008

Partial decomposition and parallel GA (PD-PGA) for constrained optimization.
Proceedings of the IEEE International Conference on Systems, 2008

Task Decomposition for Optimization Problem Solving.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Learning General Solutions through Multiple Evaluations during Development.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2008

2007
Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation.
Proceedings of the Advances in Computation and Intelligence, 2007

Developmental Evaluation in Genetic Programming: A Position Paper.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

Analysing the Regularity of Genomes Using Compression and Expression Simplification.
Proceedings of the Genetic Programming, 10th European Conference, 2007

2006
A Survey of Probabilistic Model Building Genetic Programming.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Representation and Structural Difficulty in Genetic Programming.
IEEE Trans. Evolutionary Computation, 2006

Model-building with interpolated temporal data.
Ecological Informatics, 2006

A Simple Ranking and Selection for Constrained Evolutionary Optimization.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Dual Guidance in Evolutionary Multi-objective Optimization by Localization.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

ORDERTREE: a new test problem for genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Developmental Evaluation in Genetic Programming: The Preliminary Results.
Proceedings of the Genetic Programming, 9th European Conference, 2006

Solving Symbolic Regression Problems Using Incremental Evaluation In Genetic Programming.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Fitness inheritance for noisy evolutionary multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator.
Proceedings of the Genetic Programming, 8th European Conference, 2005

2004
Toward an Alternative Comparison between Different Genetic Programming Systems.
Proceedings of the Genetic Programming, 7th European Conference, 2004

Grammar model-based program evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2002
Book Review: Blondie24: Playing at the Edge of AI.
Genetic Programming and Evolvable Machines, 2002

Some Experimental Results with Tree Adjunct Grammar Guided Genetic Programming.
Proceedings of the Genetic Programming, 5th European Conference, 2002


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