Abstract
Inspired by fireworks explosions in the sky at night, the fireworks algorithm (FWA) was proposed by the author in 2010, through the observation of the fact that fireworks explosion is similar to the way an individual searches for optimal solution in swarm intelligence algorithms. Recently, FWA has received extensive concerns from many active researchers in the swarm intelligence community. This chapter presents the fundamental principle, main constitution, implementation, and performance of the FWA, aiming to elaborate the FWA systematically and completely. The main contents include the key components, realization, characteristic, and impact of operations of FWA, as well as comparisons with genetic algorithm and particle swarm optimization.
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