Adaptive Niche Multi-objective Particle Swarm Optimization Algorithm
2008
In this paper, a novel multi-objective particle swarm optimization algorithm based on adaptive niche calculation method is presented. This proposed algorithm can automatically adjust the niche radius according to the distribution of the non-dominated solutions to solve the problem that niche radius is difficult to be specified in prior when niche technique is used. In addition, a mutation operator is incorporated to avoid premature convergence of the proposed algorithm. The algorithm is applied to several standard test functions and compared with some multi-objective evolution algorithms. Results indicate that the algorithm is of high efficiency and strong competitiveness.
Keywords:
- Machine learning
- Population-based incremental learning
- Multi-swarm optimization
- Approximation algorithm
- Evolutionary computation
- Mathematical optimization
- Algorithm design
- Operator (computer programming)
- Particle swarm optimization
- Artificial intelligence
- Mathematics
- Premature convergence
- Algorithm
- Computer science
- Convergence (routing)
- Correction
- Source
- Cite
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