Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Journal of Global Optimization
Using Genetic Algorithms in Engineering Design Optimization with Non-Linear Constraints
Proceedings of the 5th International Conference on Genetic Algorithms
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
A new adaptive penalty scheme for genetic algorithms
Information Sciences: an International Journal - Special issue: Evolutionary computation
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Derivative-Free Filter Simulated Annealing Method for Constrained Continuous Global Optimization
Journal of Global Optimization
A constraint handling approach for the differential evolution algorithm
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Robust watermarking and compression for medical images based on genetic algorithms
Information Sciences: an International Journal
Search biases in constrained evolutionary optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
System design by constraint adaptation and differential evolution
IEEE Transactions on Evolutionary Computation
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
Society and civilization: An optimization algorithm based on the simulation of social behavior
IEEE Transactions on Evolutionary Computation
Self-adaptive fitness formulation for constrained optimization
IEEE Transactions on Evolutionary Computation
A simple multimembered evolution strategy to solve constrained optimization problems
IEEE Transactions on Evolutionary Computation
A Generic Framework for Constrained Optimization Using Genetic Algorithms
IEEE Transactions on Evolutionary Computation
A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization
IEEE Transactions on Evolutionary Computation
Editorial: Special Issue on "Nature Inspired Problem-Solving"
Information Sciences: an International Journal
Information Sciences: an International Journal
C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization
Information Sciences: an International Journal
Differential evolution with level comparison for constrained optimization
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Searching for overlapping coalitions in multiple virtual organizations
Information Sciences: an International Journal
BIEA: a novel evolutionary algorithm for nonlinear constrained programming
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
A differential evolution algorithm with self-adapting strategy and control parameters
Computers and Operations Research
Differential evolution in constrained numerical optimization: An empirical study
Information Sciences: an International Journal
A new self-adaption differential evolution algorithm based component model
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
A study on scale factor in distributed differential evolution
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
An effective memetic differential evolution algorithm based on chaotic local search
Information Sciences: an International Journal
Self-adaptive learning based particle swarm optimization
Information Sciences: an International Journal
Mixed variable structural optimization using Firefly Algorithm
Computers and Structures
Information Sciences: an International Journal
Journal of Global Optimization
Computers & Mathematics with Applications
Expert Systems with Applications: An International Journal
Constrained optimization based on modified differential evolution algorithm
Information Sciences: an International Journal
Differential evolution with modified mutation strategy for solving global optimization problems
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
A new evolutionary search strategy for global optimization of high-dimensional problems
Information Sciences: an International Journal
International Journal of Bio-Inspired Computation
GenDocSum+MCLR: Generic document summarization based on maximum coverage and less redundancy
Expert Systems with Applications: An International Journal
Investigating Multi-View Differential Evolution for solving constrained engineering design problems
Expert Systems with Applications: An International Journal
On the performance comparison of multi-objective evolutionary UAV path planners
Information Sciences: an International Journal
A novel selection evolutionary strategy for constrained optimization
Information Sciences: an International Journal
A rough penalty genetic algorithm for constrained optimization
Information Sciences: an International Journal
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
Information Sciences: an International Journal
A new hybrid differential evolution with simulated annealing and self-adaptive immune operation
Computers & Mathematics with Applications
Adaptive learning algorithm of self-organizing teams
Expert Systems with Applications: An International Journal
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How much attention should be paid to the promising infeasible solutions during the evolution process is investigated in this paper. Stochastic ranking has been demonstrated as an effective technique for constrained optimization. In stochastic ranking, the comparison probability will affect the position of feasible solution after ranking, and the quality of the final solutions. In this paper, the dynamic stochastic selection (DSS) is put forward within the framework of multimember differential evolution. Firstly, a simple version named DSS-MDE is given, where the comparison probability decreases linearly. The algorithm DSS-MDE has been compared with two state-of-the-art evolution strategies and three competitive differential evolution algorithms for constrained optimization on 13 common benchmark functions. DSS-MDE is also evaluated on four well-studied engineering design examples, and the experimental results are significantly better than current available results. Secondly, other dynamic settings of the comparison probability for DSS-MDE are also designed and tested. From the experimental results, DSS-MDE is effective for constrained optimization. Finally, DSS-MDE with a square root adjusted comparison probability is evaluated on the 22 benchmark functions in CEC'06, and the experimental results on most functions are competitive.