Constrained optimization by improved particle swarm optimization with the equivalent penalty coefficient method

Author:

Takahama Tetsuyuki,Sakai Setsuko

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology

Reference36 articles.

1. Michalewicz Z (1995) A survey of constraint handling techniques in evolutionary computation methods. In: Proceeding of the 4th Annual Conference on Evolutionary Programming, The MIT Press, Cambridge, Massachusetts, pp 135–155

2. Coello CAC (2002) Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state of the art. Comput Methods Appl Mech Eng 191(11–12):1245–1287

3. Takahama T, Sakai S (2005) Constrained optimization by applying the $$\alpha $$ constrained method to the nonlinear simplex method with mutations. IEEE Trans Evol Comput 9(5):437–451

4. Coath G, Halgamuge SK (2003) A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems. In: Proceeding of the (2003) IEEE Congress on Evolutionary Computation. Canberra, Australia, pp 2419–2425

5. Takahama T, Sakai S (2019) An equivalent penalty coefficient method: An adaptive penalty approach for population-based constrained optimization. In: Proceeding of the 2019 IEEE Congress on Evolutionary Computation, pp 1621–1628

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