In this paper, we formulate an optimal weight designproblem of a gear for a constrained bending strength of gear, tortional strength of shafts and each gear dimension as a nonlinear integer programing(NIP) problemand solve it directly by keeping the nonlinear constraint by using an improved genetic
A solution method for a resistance circuit network design with optimal power consumption problem by using genetic algorithms
โ Scribed by Lixin Zheng; Takao Yokota; Mitsuo Gen
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 246 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0360-8352
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โฆ Synopsis
In this paper, we formulate a resistance circuit network design problem with optimal power consumption for a constrained electric current as a nonlinear integer programming (NIP) problem and solve it directly by keeping the nonlinear constraint based on genetic algorithms (GA).
We discuss the efficency between the proposed method and Kuhn-~cker discretized optimality criteria methods.
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