A novel multiobjective quantum-behaved particle swarm optimization based on the ring model

DOI10.1155/2016/4968938zbMath1400.90317OpenAlexW2566767634WikidataQ59131449 ScholiaQ59131449MaRDI QIDQ1793231

Yanyan Li

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/4968938

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

A novel multi-objective quantum particle swarm algorithm for suspension optimization

Uses Software

• SMPSO
• Performance Assessment

Cites Work

• Unnamed Item
• Unnamed Item
• Multiobjective particle swarm optimization with nondominated local and global sets
• Evolutionary multi-criterion optimization. 5th international conference, EMO 2009, Nantes, France, April 7--10, 2009. Proceedings
• Pareto-ranking based quantum-behaved particle swarm optimization for multiobjective optimization
• Optimizing the codon usage of synthetic gene with QPSO algorithm
• Minimization by Random Search Techniques
• Evolutionary Multi-Criterion Optimization
• Evolutionary Multi-Criterion Optimization

This page was built for publication: A novel multiobjective quantum-behaved particle swarm optimization based on the ring model