Genetic algorithm for constrained global optimization in continuous variables

DOI10.1016/j.amc.2005.01.075zbMath1090.65067OpenAlexW2079980777MaRDI QIDQ814754

Min Sun, Dhiranuch Bunnag

Publication date: 7 February 2006

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2005.01.075

zbMATH Keywords

constrained optimizationnumerical examplesstochastic global optimizationgenetic algorithmconvergence in probability

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Stochastic programming (90C15)

Related Items (5)

Global optimization by an improved differential evolutionary algorithm ⋮ Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption ⋮ Unnamed Item ⋮ Fast chaotic optimization algorithm based on spatiotemporal maps for global optimization ⋮ Chaos optimization algorithms based on chaotic maps with different probability distribution and search speed for global optimization

Uses Software

• Genocop

Cites Work

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• Parallel recombinative simulated annealing: A genetic algorithm
• A collection of test problems for constrained global optimization algorithms
• A Markov chain analysis of genetic algorithms with power of 2 cardinality alphabets
• Global annealing genetic algorithm and its convergence analysis
• Cooling Schedules for Optimal Annealing
• Convergence Criteria for Genetic Algorithms
• Stopping Criteria for Finite Length Genetic Algorithms
• New stopping criterion for genetic algorithms
• Theory of genetic algorithms
• Extension of a hybrid genetic algorithm for nonlinear programming problems with equality and inequality constraints.

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