GENOCOP: a genetic algorithm for numerical optimization problems with linear constraints
Communications of the ACM - Electronic supplement to the December issue
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Adaptive Selection Methods for Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Using Genetic Algorithms in Engineering Design Optimization with Non-Linear Constraints
Proceedings of the 5th International Conference on Genetic Algorithms
An Adaptive Penalty Scheme In Genetic Algorithms For Constrained Optimiazation Problems
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
The second generation of self-organizing adaptive penalty strategy for constrained genetic search
Advances in Engineering Software
Using Evolutionary Algorithms for Defining the Sampling Policy of Complex N-Partite Networks
IEEE Transactions on Knowledge and Data Engineering
Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization
Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Search biases in constrained evolutionary optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Evolutionary programming techniques for constrained optimizationproblems
IEEE Transactions on Evolutionary Computation
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
Dynamic multiobjective evolutionary algorithm: adaptive cell-based rank and density estimation
IEEE Transactions on Evolutionary Computation
Rank-density-based multiobjective genetic algorithm and benchmark test function study
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
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
PSO-Based Multiobjective Optimization With Dynamic Population Size and Adaptive Local Archives
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Vaccine-enhanced artificial immune system for multimodal function optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multi-operator based evolutionary algorithms for solving constrained optimization problems
Computers and Operations Research
On an evolutionary approach for constrained optimization problem solving
Applied Soft Computing
A differential evolution approach for solving constrained min-max optimization problems
Expert Systems with Applications: An International Journal
An improved (µ+λ)-constrained differential evolution for constrained optimization
Information Sciences: an International Journal
A genetic algorithm based augmented Lagrangian method for constrained optimization
Computational Optimization and Applications
Facial Feature Tracking via Evolutionary Multiobjective Optimization
International Journal of Applied Evolutionary Computation
A Multiobjective Particle Swarm Optimizer for Constrained 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
A novel selection evolutionary strategy for constrained optimization
Information Sciences: an International Journal
International Journal of Bio-Inspired Computation
A new genetic algorithm for solving optimization problems
Engineering Applications of Artificial Intelligence
Differential evolution with multi-constraint consensus methods for constrained optimization
Journal of Global Optimization
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This paper proposes an adaptive penalty function for solving constrained optimization problems using genetic algorithms. The proposed method aims to exploit infeasible individuals with low objective value and low constraint violation. The number of feasible individuals in the population is used to guide the search process either toward finding more feasible individuals or searching for the optimum solution. The proposed method is simple to implement and does not need any parameter tuning. The performance of the algorithm is tested on 22 benchmark functions in the literature. The results show that the proposed approach is able to find very good solutions comparable to the chosen state-of-the-art designs. Furthermore, it is able to find feasible solutions in every run for all of the benchmark functions tested.