Journal
SOFTWAREX
Volume 24, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.softx.2023.101536
Keywords
Optimization; Particle swarm optimization; Quantum-behaved particle swarm optimization
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SLSL-QPSO is a software that improves the Quantum-behaved Particle Swarm Optimization (QPSO) algorithms by leveraging the concept of living and death as swarm layers. Experimental results demonstrate its superior performance in finding better optimal solutions compared to other algorithms.
SLSL-QPSO is a software that can find the optimal value of a function. It improves over the Quantum-behaved Particle Swarm Optimization (QPSO) algorithms by leveraging the concept of living and death as swarm layers like the parameter optimization in the Optimized PSO (OPSO) but without the super swarm, the Le ' vy mutation, the scoped contradiction-expansion coefficient, and the selection of effective layers. Experimental results demonstrate that SLSL-QPSO has superior performance in finding better optimal than QPSO and several other variants thus providing a competitive solution to optimization problems.
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