A Continuous Genetic Algorithm Designed for the Global Optimization of Multimodal Functions

By Rachid Chelouah, Patrick Siarry. J. Heuristics, 2000

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Population-based methods in the optimization of stand management. (2009, methodology): “…that are used in combinatorial optimization, namely genetic algorithm, simulated annealing and tabu search (Reeves 1993, Borges et al. 2002), can be modified so that they work with continuous decision variables (e.g. Corana et al. 1987, Wikström and Erikson 2000, Chelouah and Siarry 2000).”
Particle swarm and ant colony algorithms hybridized for improved continuous optimization (2007, methodology): “Particle swarm ant colony optimization (PSACO) This paper Chaotic particle swarm optimization (CPSO) [9] Particle swarm optimization (PSO) [9] Genetic algorithm (GA) [9] Nelder–Mead–particle swarm optimization (NM-PSO) [8] Continuous hybrid algorithm (CHA) [15] Continuous tabu simplex search (CTSS) ”
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions (2011, methodology): “RABC was further compared with eight algorithms on Chelouah and Siarry’s test set [9], which is widely used for testing algorithms.”