Momentum search algorithm: a new meta-heuristic optimization algorithm inspired by momentum conservation law

A novel optimization methodology, Momentum Search Algorithm (MSA) is presented based on Newton’s laws: the law of conservation of momentum. It includes a set of masses in a closed system considering the conservation of momentum and kinetic energy of bodies. The possible solutions are presented by sy...

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Vydané v:	SN applied sciences Ročník 2; číslo 10; s. 1720
Hlavní autori:	Dehghani, Mohammad, Samet, Haidar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.10.2020 Springer Nature B.V
Predmet:	Algorithms Applied and Technical Physics Chemistry/Food Science Conservation laws Earth Sciences Energy Energy conservation Engineering Engineering: Artificial Intelligence Environment Fitness Genetic algorithms Gravity Heuristic Heuristic methods Iterative methods Kinetic energy Machine learning Materials Science Momentum Monte Carlo simulation Optimization algorithms Optimization techniques Particle swarm optimization Physics Reproductive fitness Research Article Search algorithms Momentum search algorithm Heuristic optimization algorithms Law of conservation of momentum Optimization
ISSN:	2523-3963, 2523-3971
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