Fireworks Algorithm

Reviews the state-of-the-art of firework algorithms (FWA) as a novel explosive search way for optimization Offers the key operators and characteristics as well as theoretical analyses of convergence and time-complexity of FWA through stochastic Markov process Presents exhaustively the key recent research into varieties of improving versions of FWA so far Enriches understanding of FWA by incorporating FWA with GPU, MOO, and combinatorial optimization Covers many different applications including NMF, document clustering, pattern recognition, inversion problem, and swarm robotics Includes supplementary material: sn.pub/extras

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