Evolutionary Optimization: Bio-inspired Methods
摘要
A series of most cited bio-inspired methods has been selected for this chapter. The order we chose for presenting the methods is also bio-inspired, in the sense that we go from invertebrates to vertebrates, and in the case of vertebrates, we start with water, then land, and finally air. A few benchmark functions have been selected for experimental testing (programs in MATLAB), which reveals slow or fast convergence in each of the methods. The methods considered are: Artificial Bee Colony (ABC), Firefly algorithm, Glowwarm Swarm Optimization algorithm, Krill Herd algorithm, Shuffled Frog Leaping algorithm (memetic evolution), Grey Wolf algorithm, bats, crow search, and cuckoo search.