Benchmarking and comparison of nature-inspired population-based continuous optimisation algorithms

Author:

Pham D. T.,Castellani M.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference51 articles.

1. Adorio EP (2005) MVF–multivariate test functions library in C for unconstrained global optimization. http://geocities.com/eadorio/mvf.pdf

2. Baeck T, Hoffmeister F, Schwefel HP (1991) A survey of evolution strategies. In: Proceedings fourth international conference on genetic algorithms. Morgan Kaufmann, San Mateo, pp 2–9

3. Balázs K, Botzheim J, Kóczy LT (2010) Comparison of various evolutionary and memetic algorithms. In: Integrated uncertainty management and applications. Springer, Berlin, pp 431–442

4. Bersini H, Dorigo M, Langerman S, Seront G, Gambardella L (1996) Results of the first international contest on evolutionary optimisation (1st ICEO). In: Proceedings of IEEE international conference evolutionary computation. IEEE Press, Nagoya, Japan, pp 611–615

5. Blackwell T, Branke J (2004) Multi-swarm optimization in dynamic environments, applications of evolutionary computing. In: Raidl GR (ed) Lecture notes in computer science, vol 3005. Springer, Berlin, pp 489–500

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