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Adaptive gbest-guided gravitational search algorithm
Seyedali Mirjalili
, Andrew Lewis
Research output
:
Contribution to journal
›
Article
›
peer-review
198
Citations (Scopus)
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Dive into the research topics of 'Adaptive gbest-guided gravitational search algorithm'. Together they form a unique fingerprint.
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Keyphrases
Gravitational Search Algorithm
100%
Gbest
100%
Gravitational Force
66%
Cumulative Effects
33%
Evolutionary Algorithms
33%
Particle Swarm Optimization Algorithm
33%
Particle Swarm Optimization-genetic Algorithm
33%
Constrained Problems
33%
Fitness Function
33%
Heuristic Algorithms
33%
Welded Beam
33%
Unconstrained Benchmark Functions
33%
Real Engineering Problem
33%
Engineering Problems
33%
Superior Performance
33%
Constrained Engineering Problems
33%
Tension Spring
33%
Close Proximity
33%
Computer Science
Gravitational Search Algorithm
100%
Engineering Problem
66%
Gravitational Force
66%
particle swarm optimization algorithm
33%
Genetic Algorithm
33%
Fitness Function
33%
Benchmark Function
33%
Design Problem
33%
Evolutionary Algorithms
33%
Superior Performance
33%
Heuristic Algorithm
33%
Close Proximity
33%
Engineering
Search Algorithm
100%
Engineering Problem
66%
Gravitational Force
66%
Particle Swarm Optimization
33%
Genetic Algorithm
33%
Fitness Function
33%
Engineering Design Problem
33%
Constrained Problem
33%
Close Proximity
33%
Mathematics
Search Algorithm
100%
Engineering Problem
66%
Gravitational Force
66%
Particle Swarm Optimization
33%
Genetic Algorithm
33%
Heuristic Algorithm
33%
Evolutionary Algorithm
33%
Physics
Particle Swarm Optimization
100%
Genetic Algorithm
100%