Biologically Inspired Algorithms – 1 / 36 Biologically Inspired Algorithms (A4M33BIA) Optimization: Conventional and Unconventional Optimization Techniques Contents (original) (raw)
To Classify Recent Approaches Such as Adaptive Memory Programming, Ants Systems, Evolutionary Methods, Genetics Algorithm, Greedy Randomized Adaptive Search Procedures, Guided Local Search, Neural Networks, Problem-Space Search, Simulated Annealing, Scatter Search, Tabu Search
Intelligent optimization techniques, genetic algorithms, tabu search, simulated annealing, and neural networks, D. T. Pham and D. Karaboga, Springer: Berlin, Heidelberg, New York; Springer London: London, 2000, 302pp, ISBN 1-85233-028-7
International Journal of Robust and Nonlinear Control, 2005