Daryl Essam
According to our database^{1},
Daryl Essam
authored at least 122 papers
between 2002 and 2019.
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Bibliography
2019
Multimethod based algorithm for multiobjective 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 threetier manufacturing supply chain.
Annals OR, 2019
Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis.
IEEE Access, 2019
New Designs of kmeans 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 threetier 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
Deadlineconstrained Stochastic Optimization of Resource Provisioning, for Cloud Users.
Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018
ScenarioBased Solution Approach for Uncertain Resource Constrained Scheduling Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
LandscapeBased Differential Evolution for Constrained Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Improved United MultiOperator Algorithm for Solving Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
An Efficient Differential Evolution Algorithm for Solving 01 Knapsack Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Landscapebased 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 reoptimization dynamic vehicle routing problems.
Appl. Soft Comput., 2017
A genetic algorithm for permutation flowshop scheduling under practical maketoorder production system.
AI EDAM, 2017
Uncertaintyaware Optimization of Resource Provisioning, a Cloud Enduser Perspective.
Proceedings of the CLOSER 2017, 2017
Multimethod based orthogonal experimental design algorithm for solving CEC2017 competition problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Detectable Genetic AlgorithmsBased Techniques for Solving Dynamic Optimisation Problem with Unknown Active Variables.
Proceedings of the Artificial Life and Computational Intelligence, 2017
2016
Constraint Consensus MutationBased Differential Evolution for Constrained Optimization.
IEEE Trans. Evolutionary Computation, 2016
Multimode resource constrained project scheduling under resource disruptions.
Computers & Chemical Engineering, 2016
Managing risk in production scheduling under uncertain disruption.
AI EDAM, 2016
Twophase 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 MultiOperator 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
Decompositionbased 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 realtime order acceptance and scheduling approach for permutation flow shop problems.
European Journal of Operational Research, 2015
A disruption recovery plan in a threestage productioninventory 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 productioninventory system.
Computers & Industrial Engineering, 2015
A possibilistic environment based particle swarm optimization for aggregate production planning.
Computers & Industrial Engineering, 2015
Training and testing a selfadaptive multioperator 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 twostage batch productioninventory system with reliability considerations.
European Journal of Operational Research, 2014
A new genetic algorithm for solving optimization problems.
Eng. Appl. of AI, 2014
A selfadaptive 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 threetier 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 Multimode Resource Constraints Project Scheduling Problem.
Proceedings of the Computer Information Systems and Industrial Management, 2014
A decompositionbased 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 multioperator evolutionary algorithms on the CEC2014 realparameter numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
United multioperator evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
An Improved SelfAdaptive Differential Evolution Algorithm for Optimization Problems.
IEEE Trans. Industrial Informatics, 2013
Differential evolution with multiconstraint consensus methods for constrained optimization.
J. Global Optimization, 2013
Enhancements to the Localized Genetic Algorithm for Large Scale Capacitated Vehicle Routing Problems.
IJAEC, 2013
Selfadaptive differential evolution incorporating a heuristic mixing of operators.
Comp. Opt. and Appl., 2013
A recovery model for a twoechelon 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 ProductionInventory 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 realparameter 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 productioninventory 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 realworld Optimization Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Memetic multitopology 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
Multioperator 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
Multiheuristics 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 realworld numerical optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
GA with a new multiparent crossover for solving IEEECEC2011 competition problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
GA with a new multiparent 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 Multiobjective 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 ThreeStrategy 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 JobShop Scheduling Problems.
Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009
Memetic algorithms for solving jobshop 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 MultiObjective Optimization Problems.
Evolutionary Computation, 2009
Local models  an approach to distributed multiobjective 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 TAGbased 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 MultiObjective 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 (PDPGA) 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
Modelbuilding 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 Multiobjective 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 multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Genetic Transposition in TreeAdjoining 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 modelbased 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