Multipoint Tabu Search Based on Proximate Optimality Principle-Application of Parts Concept
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概要
- 論文の詳細を見る
- 2007-11-01
著者
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YASUDA Keiichiro
Tokyo Metropolitan University
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Yasuda Keiichiro
Tokyo Metropolitan Univ. Tokyo Jpn
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ISHIGAME Atsushi
Osaka Prefecture University
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Niizuma Daichi
Tokyo Metropolitan University
関連論文
- Particle Swarm Optimization : A Numerical Stability Analysis and Parameter Adjustment Based on Swarm Activity
- Dynamic Parameter Tuning of Particle Swarm Optimization
- Adaptive Particle Swarm Optimization via Velocity Feedback
- A Method to Combine Chaos and Neural Network Based on the Fixed Point Theory
- Analysis of the Dynamics of Particle Swarm Optimization
- Integrated Optimization by Multi-Objective Particle Swarm Optimization
- Particle Swarm Optimization with Velocity Control
- Particle Swarm Optimization with Approximate Gradient
- Hierarchical Decentralized Autonomous Control in Super-distributed Energy Systems
- A Physical Interpretation of Particle Swarm Optimization
- Particle Swarm Optimization with Controlled Mutation
- Particle Swarm Optimization with Diverse Parameters
- Pursuit-Escape Particle Swarm Optimization
- Proximate Optimality Principle Based Tabu Search
- Multipoint Tabu Search Based on Proximate Optimality Principle-Application of Parts Concept
- Multi-point Tabu Search for Traveling Salesman Problems