Harmony search (HS) is a metaheuristic algorithm mimicking the improvisation process of musicians. In the process, each musician (= decision variable) plays (= generates) a note (= value) for finding a best harmony (= global optimum) all together. The Harmony Search algorithm has a novel stochastic derivative (for discrete variable) based on musician's experience, rather than gradient (for continuous variable) in differential calculus.
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- Harmony search (HS) is a metaheuristic algorithm mimicking the improvisation process of musicians. In the process, each musician (= decision variable) plays (= generates) a note (= value) for finding a best harmony (= global optimum) all together. The Harmony Search algorithm has a novel stochastic derivative (for discrete variable) based on musician's experience, rather than gradient (for continuous variable) in differential calculus.
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- Harmony search (HS) is a metaheuristic algorithm mimicking the improvisation process of musicians. In the process, each musician (= decision variable) plays (= generates) a note (= value) for finding a best harmony (= global optimum) all together. The Harmony Search algorithm has a novel stochastic derivative (for discrete variable) based on musician's experience, rather than gradient (for continuous variable) in differential calculus.
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