Genmin: an enhanced genetic algorithm for global optimization
DOI10.1016/j.cpc.2008.01.040zbMath1196.90010OpenAlexW2132568689MaRDI QIDQ710233
Ioannis G. Tsoulos, Isaac E. Lagaris
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.2008.01.040
global optimizationgenetic algorithmstopping rulegenetic programmingstochastic methodsgrammatical evolution\texttt{Genmin}
Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59) Software, source code, etc. for problems pertaining to operations research and mathematical programming (90-04)
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Uses Software
Cites Work
- Optimization by Simulated Annealing
- Genanneal: genetically modified simulated annealing
- Genetically controlled random search: a global optimization method for continuous multidimensional functions
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Integrated crossover rules in real coded genetic algorithms
- A differential free point generation scheme in the differential evolution algorithm
- Biologically inspired algorithms for financial modelling.
- A method of unconstrained global optimization
- 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
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