Design of Temperature Controllor in Diamond Synthetic Chamber Based on Multi-Objective Particle Swarm Optimization

Design of Temperature Controllor in Diamond Synthetic Chamber Based on Multi-Objective Particle Swarm Optimization

Temperature control problem is a typical multi-constraint/multi-objective nonlinear programming problem in diamond synthetic chamber and it cannot be solved by conventional methods. This paper proposed a constraint multi-objective particle swarm optimization (CMOPSO) algorithm to solve the problem....

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Veröffentlicht in:Applied Mechanics and Materials 2014-01, Vol.496-500 (Frontiers of Manufacturing and Design Science IV), p.1448-1451
Hauptverfasser: Zhao, Cheng, Hua, Hong Yan
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Chambers
Convergence
Diamonds
Nonlinear programming
Optimization
Swarm intelligence
Temperature control
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Zusammenfassung:Temperature control problem is a typical multi-constraint/multi-objective nonlinear programming problem in diamond synthetic chamber and it cannot be solved by conventional methods. This paper proposed a constraint multi-objective particle swarm optimization (CMOPSO) algorithm to solve the problem. Simulation results show that the CMOPSO algorithm can be used effectively in diamond temperature control and it has strong convergence optimization abilities for all different parameters and constraint conditions.
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.496-500.1448