BGSA: Binary gravitational search algorithm The gravitational search algorithm is a new optimization algorithm that is based on the law of gravity and mass interactions. In this algorithm, the search agents are a collection of masses, and their interactions are based on the Newtonian laws of gravity and motion. In this article, a binary version of the algorithm is introduced. To evaluate the performances of the proposed algorithm, several experiments are performed. The experimental results confirm the efficiency of the BGSA in solving various nonlinear benchmark functions

References in zbMATH (referenced in 9 articles , 1 standard article )

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  1. Crawford, Broderick; Soto, Ricardo; Astorga, Gino; García, José; Castro, Carlos; Paredes, Fernando: Putting continuous metaheuristics to work in binary search spaces (2017)
  2. Shams, Masumeh; Rashedi, Esmat; Hakimi, Ahmad: Clustered-gravitational search algorithm and its application in parameter optimization of a low noise amplifier (2015)
  3. Beheshti, Zahra; Hj.Shamsuddin, Siti Mariyam: CAPSO: centripetal accelerated particle swarm optimization (2014) ioport
  4. Deregeh, Fatemeh; Nezamabadi-Pour, Hossein: A new gravitational image edge detection method using edge explorer agents (2014) ioport
  5. David, Radu-Codruţ; Precup, Radu-Emil; Petriu, Emil M.; Rădac, Mircea-Bogdan; Preitl, Stefan: Gravitational search algorithm-based design of fuzzy control systems with a reduced parametric sensitivity (2013)
  6. Spichakova, Margarita: An approach to the inference of finite state machines based on a gravitationally-inspired search algorithm (2013)
  7. Gauci, Melvin; Dodd, Tony J.; Groß, Roderich: Why `GSA: a gravitational search algorithm’ is not genuinely based on the law of gravity (2012)
  8. Mirjalili, SeyedAli; Hashim, Siti Zaiton Mohd; Sardroudi, Hossein Moradian: Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm (2012)
  9. Rashedi, Esmat; Nezamabadi-pour, Hossein; Saryazdi, Saeid: BGSA: Binary gravitational search algorithm (2010)