Particle swarm optimization with crossover: a review and empirical analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
http://link.springer.com/content/pdf/10.1007/s10462-015-9445-7.pdf
Reference37 articles.
1. Abdelbar A, Abdelshahid S (2003) Swarm optimization with instinct-driven particles. In: Proceedings of the IEEE congress on evolutionary computation. IEEE, Piscataway, pp 777–782
2. Cleghorn C, Engelbrecht A (2014) A generalized theoretical deterministic particle swarm model. Swarm Intell 8(1):35–59
3. Clerc M, Kennedy J (2002) The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evol Comput 6(1):58–73
4. Deb K, Padhye N (2010) Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms. In: Proceedings of the 12th annual conference on genetic and evolutionary computation. ACM, New York, pp 55–62
5. Deb K, Joshi D, Anand A (2002) Real-coded evolutionary algorithms with parent-centric recombination. In: Proceedings of the IEEE congress on evolutionary computation. IEEE, Piscataway, pp 61–66
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