In this paper we study the performance of two stochastic search methods: Genetic Algorithms and Simulated Annealing, applied to the optimization of pin-jointed steel bar structures. We show that it is possible to embed these two schemes into a single parametric family of algorithms, and that optimal
Solving power system optimization problems using simulated annealing
β Scribed by Kit Po Wong
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 458 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0952-1976
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β¦ Synopsis
Based on the simulated annealing technique and the constrained form of power system optimization problems, this paper develops a simulated-annealing-based optimization algorithm for power-system optimization problems. The algorithm is general, and it possesses the ability to determine the global optimum solution. The developed algorithm is demonstrated by its application to the problem of the economic dispatch of electric power.
π SIMILAR VOLUMES
We propose a stochastic optimization technique based on a Ε½ . generalized simulated annealing GSA method for mapping minima points of molecular conformational energy surfaces. The energy maps are obtained by Ε½ . coupling a classical molecular force field THOR package with a GSA procedure. Ε½ . Unlik