Genetically controlled random search: a global optimization method for continuous multidimensional functions

DOI10.1016/j.cpc.2005.09.007zbMath1196.90086OpenAlexW2118272947MaRDI QIDQ709932

Isaac E. Lagaris, Ioannis G. Tsoulos

Publication date: 18 October 2010

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2005.09.007

zbMATH Keywords

global optimizationgenetic programmingstochastic methodsgrammatical evolution

Mathematics Subject Classification ID

Nonlinear programming (90C30) Stochastic programming (90C15) Search theory (90B40)

Related Items

Genanneal: genetically modified simulated annealing ⋮ Genmin: an enhanced genetic algorithm for global optimization ⋮ An improved adaptive particle swarm optimization approach for multi-modal function optimization

Uses Software

• PANMIN
• Algorithm 829
• simannf90
• Function Parser

Cites Work

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• Optimization by Simulated Annealing
• A tolerant algorithm for linearly constrained optimization calculations
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Application of stochastic global optimization algorithms to practical problems
• A method of unconstrained global optimization
• Taboo Search: An Approach to the Multiple Minima Problem
• Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm—Corrigenda for this article is available here
• Adaptive Global Search by the Process of Competitive Evolution
• A controlled random search procedure for global optimisation
• Algorithm 829
• An Adaptive Random Search Algorithm for Constrained Minimization