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A new global optimization algorithm for mixed-integer-discrete-continuous variables based on particles swarm optimization

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4 Author(s)
Ziyan Ren ; Sch. of Electr. Eng., Chungbuk Nat. Univ., Cheongju, South Korea ; Minh-Trien Pham ; Wei Li ; Chang Seop Koh

This paper presents a new global optimization algorithm for mixed-integer-discrete-continuous variables. In the algorithm, an augmented objective function is constructed by introducing a penalty function to treat both the integer and discrete variables as continuous ones. Particles swarm optimization (PSO) is, then, applied to the augmented objective function to find a global optimal point.

Published in:

Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on

Date of Conference:

9-12 May 2010

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