A mutation operator for evolution strategies to handle constrained problems
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
Sex and death: towards biologically inspired heuristics for constraint handling
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Differential evolution with dynamic stochastic selection for constrained optimization
Information Sciences: an International Journal
Population-Based Extremal Optimization with Adaptive Lévy Mutation for Constrained Optimization
Computational Intelligence and Security
On the Behaviour of the (1+1)-ES for a Simple Constrained Problem
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
A Constrained Dynamic Evolutionary Algorithm with Adaptive Penalty Coefficient
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Co-evolutionary particle swarm optimization to solve constrained optimization problems
Computers & Mathematics with Applications
Solving nonlinearly constrained global optimization problem via an auxiliary function method
Journal of Computational and Applied Mathematics
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Stochastic ranking based differential evolution algorithm for constrained optimization problem
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
A Novel Component-Based Model and Ranking Strategy in Constrained Evolutionary Optimization
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
An adaptive penalty formulation for constrained evolutionary optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A portfolio optimization model with three objectives and discrete variables
Computers and Operations Research
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Handling constraints in particle swarm optimization using a small population size
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
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
International Journal of Bio-Inspired Computation
Differential evolution in constrained numerical optimization: An empirical study
Information Sciences: an International Journal
Ensemble of constraint handling techniques
IEEE Transactions on Evolutionary Computation
Feasibility structure modeling: an effective chaperone for constrained memetic algorithms
IEEE Transactions on Evolutionary Computation - Special issue on preference-based multiobjective evolutionary algorithms
A three-strategy based differential evolution algorithm for constrained optimization
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Blended biogeography-based optimization for constrained optimization
Engineering Applications of Artificial Intelligence
A review of constraint-handling techniques for evolution strategies
Applied Computational Intelligence and Soft Computing - Special issue on theory and applications of evolutionary computation
On the behaviour of the (1,λ)-es for a simple constrained problem
Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms
Multi-operator based evolutionary algorithms for solving constrained optimization problems
Computers and Operations Research
Analysis of a repair mechanism for the (1,λ)-ES applied to a simple constrained problem
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Multi-level ranking for constrained multi-objective evolutionary optimisation
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Constrained optimization using organizational evolutionary algorithm
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
A simple ranking and selection for constrained evolutionary optimization
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Preference bi-objective evolutionary algorithm for constrained optimization
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Expert Systems with Applications: An International Journal
An enhanced heuristic searching algorithm for complicated constrained optimization problems
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Constrained optimization based on modified differential evolution algorithm
Information Sciences: an International Journal
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
A note on teaching-learning-based optimization algorithm
Information Sciences: an International Journal
International Journal of Bio-Inspired Computation
Surrogate-assisted evolutionary programming for high dimensional constrained black-box optimization
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
On an evolutionary approach for constrained optimization problem solving
Applied Soft Computing
Path planning based on voronoi diagram and biogeography-based optimization
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
An improved (µ+λ)-constrained differential evolution for constrained optimization
Information Sciences: an International Journal
Real-Valued constraint optimization with ICHEA
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Solving dynamic constraint optimization problems using ICHEA
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Comments on "A note on teaching-learning-based optimization algorithm"
Information Sciences: an International Journal
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
Constraint Handling in Particle Swarm Optimization
International Journal of Swarm Intelligence Research
Self-adaptive differential evolution incorporating a heuristic mixing of operators
Computational Optimization and Applications
A penalty function-based differential evolution algorithm for constrained global optimization
Computational Optimization and Applications
Particle swarm optimization for solving engineering problems: A new constraint-handling mechanism
Engineering Applications of Artificial Intelligence
Structural and Multidisciplinary Optimization
A novel selection evolutionary strategy for constrained optimization
Information Sciences: an International Journal
International Journal of Bio-Inspired Computation
Resampling versus repair in evolution strategies applied to a constrained linear problem
Evolutionary Computation
An upgraded artificial bee colony (ABC) algorithm for constrained optimization problems
Journal of Intelligent Manufacturing
Integrating the artificial bee colony and bees algorithm to face constrained optimization problems
Information Sciences: an International Journal
International Journal of Metaheuristics
Differential evolution with multi-constraint consensus methods for constrained optimization
Journal of Global Optimization
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This work presents a simple multimembered evolution strategy to solve global nonlinear optimization problems. The approach does not require the use of a penalty function. Instead, it uses a simple diversity mechanism based on allowing infeasible solutions to remain in the population. This technique helps the algorithm to find the global optimum despite reaching reasonably fast the feasible region of the search space. A simple feasibility-based comparison mechanism is used to guide the process toward the feasible region of the search space. Also, the initial stepsize of the evolution strategy is reduced in order to perform a finer search and a combined (discrete/intermediate) panmictic recombination technique improves its exploitation capabilities. The approach was tested with a well-known benchmark. The results obtained are very competitive when comparing the proposed approach against other state-of-the art techniques and its computational cost (measured by the number of fitness function evaluations) is lower than the cost required by the other techniques compared.