An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints

Abu S.S.M. Barkat Ullah; Ruhul Sarker; Chris Lokan

doi:10.1109/CEC.2009.4982932

An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints

Abu S.S.M. Barkat Ullah, Ruhul Sarker, Chris Lokan

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

Over the last two decades several methods have been proposed for handling functional constraints while solving nonlinear optimization problems using Evolutionary Algorithms (EA). However EAs have inherent difficulty in dealing with equality constraints. This paper presents an Agent-based Memetic Algorithm (AMA) for solving nonlinear optimization problems with equality constraints. A new learning process for agents is introduced specifically for handling the equality constraints in the evolutionary process. The basic concept is to reach a point on the equality constraint from its current position by the selected individual agents. The proposed algorithm is tested on a set of standard benchmark problems. The preliminary results show that the proposed technique works very well on those benchmark problems.

Original language	English
Title of host publication	2009 IEEE Congress on Evolutionary Computation, CEC 2009
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	70-77
Number of pages	8
ISBN (Print)	9781424429592
DOIs	https://doi.org/10.1109/CEC.2009.4982932
Publication status	Published - 25 Nov 2009
Externally published	Yes
Event	2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway Duration: 18 May 2009 → 21 May 2009

Publication series

Name	2009 IEEE Congress on Evolutionary Computation, CEC 2009

Conference

Conference	2009 IEEE Congress on Evolutionary Computation, CEC 2009
Country/Territory	Norway
City	Trondheim
Period	18/05/09 → 21/05/09

Access to Document

10.1109/CEC.2009.4982932

Cite this

Barkat Ullah, A. S. S. M., Sarker, R., & Lokan, C. (2009). An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints. In 2009 IEEE Congress on Evolutionary Computation, CEC 2009 (pp. 70-77). [4982932] (2009 IEEE Congress on Evolutionary Computation, CEC 2009). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CEC.2009.4982932

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abstract = "Over the last two decades several methods have been proposed for handling functional constraints while solving nonlinear optimization problems using Evolutionary Algorithms (EA). However EAs have inherent difficulty in dealing with equality constraints. This paper presents an Agent-based Memetic Algorithm (AMA) for solving nonlinear optimization problems with equality constraints. A new learning process for agents is introduced specifically for handling the equality constraints in the evolutionary process. The basic concept is to reach a point on the equality constraint from its current position by the selected individual agents. The proposed algorithm is tested on a set of standard benchmark problems. The preliminary results show that the proposed technique works very well on those benchmark problems.",

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author = "{Barkat Ullah}, {Abu S.S.M.} and Ruhul Sarker and Chris Lokan",

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Barkat Ullah, ASSM, Sarker, R & Lokan, C 2009, An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints. in 2009 IEEE Congress on Evolutionary Computation, CEC 2009., 4982932, 2009 IEEE Congress on Evolutionary Computation, CEC 2009, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 70-77, 2009 IEEE Congress on Evolutionary Computation, CEC 2009, Trondheim, Norway, 18/05/09. https://doi.org/10.1109/CEC.2009.4982932

An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints. / Barkat Ullah, Abu S.S.M.; Sarker, Ruhul; Lokan, Chris.
2009 IEEE Congress on Evolutionary Computation, CEC 2009. United States: IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 70-77 4982932 (2009 IEEE Congress on Evolutionary Computation, CEC 2009).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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T1 - An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints

AU - Barkat Ullah, Abu S.S.M.

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N2 - Over the last two decades several methods have been proposed for handling functional constraints while solving nonlinear optimization problems using Evolutionary Algorithms (EA). However EAs have inherent difficulty in dealing with equality constraints. This paper presents an Agent-based Memetic Algorithm (AMA) for solving nonlinear optimization problems with equality constraints. A new learning process for agents is introduced specifically for handling the equality constraints in the evolutionary process. The basic concept is to reach a point on the equality constraint from its current position by the selected individual agents. The proposed algorithm is tested on a set of standard benchmark problems. The preliminary results show that the proposed technique works very well on those benchmark problems.

AB - Over the last two decades several methods have been proposed for handling functional constraints while solving nonlinear optimization problems using Evolutionary Algorithms (EA). However EAs have inherent difficulty in dealing with equality constraints. This paper presents an Agent-based Memetic Algorithm (AMA) for solving nonlinear optimization problems with equality constraints. A new learning process for agents is introduced specifically for handling the equality constraints in the evolutionary process. The basic concept is to reach a point on the equality constraint from its current position by the selected individual agents. The proposed algorithm is tested on a set of standard benchmark problems. The preliminary results show that the proposed technique works very well on those benchmark problems.

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Barkat Ullah ASSM, Sarker R, Lokan C. An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints. In 2009 IEEE Congress on Evolutionary Computation, CEC 2009. United States: IEEE, Institute of Electrical and Electronics Engineers. 2009. p. 70-77. 4982932. (2009 IEEE Congress on Evolutionary Computation, CEC 2009). doi: 10.1109/CEC.2009.4982932

An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints

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