Particle swarm optimization based co-operative task assignment and path planning for multi-agent system

2017 ◽  
Author(s):  
Sumana Biswas ◽  
Sreenatha G. Anavatti ◽  
Matthew A. Garratt
Keyword(s):  
Particle Swarm Optimization ◽  
Path Planning ◽  
Particle Swarm ◽  
Task Assignment ◽  
Multi Agent System ◽  
Agent System ◽  
Swarm Optimization ◽  
Multi Agent

scholarly journals IMPLEMENTASI ALGORITMA PARTICLE SWARM OPTIMIZATION UNTUK PENENTUAN POSISI STRATEGIS AGENT PADA SIMULASI ROBOT SEPAK BOLA DUA DIMENSI

2012 ◽  
Vol 1 (2) ◽  
Author(s):  
Galih Hermawan
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Multi Agent System ◽  
Agent System ◽  
Swarm Optimization ◽  
Multi Agent

Robot sepak bola merupakan perpaduan antara olah raga, teknologi robotika, dan multi agent system. Untuk mencapai tujuan, selain membutuhkan kecerdasan individu, juga menuntut kemampuan kerja sama antar individu. Posisi robot ketika bermain mempengaruhi kemampuan robot dalam bekerja sama dan memilih aksi yang sesuai. Dalam tulisan ini akan disajikan hasil penelitian kami dalam penerapan algoritma particle swarm optimization (PSO) untuk menentukan posisi robot ketika bermain sepak bola. Hasil pengujian pada simulasi RoboCup Soccer dua dimensi menunjukkan bahwa tim robot sepak bola yang menggunakan algoritma PSO memiliki performa bermain lebih baik ketimbang tim sebelum menggunakan algoritma PSO.

scholarly journals A Multi-Agent-Based Optimization Model for Microgrid Operation Using Dynamic Guiding Chaotic Search Particle Swarm Optimization

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3286
Author(s):  
Jicheng Liu ◽  
Fangqiu Xu ◽  
Shuaishuai Lin ◽  
Hua Cai ◽  
Suli Yan
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Storage ◽  
Demand Response ◽  
Optimization Model ◽  
Particle Swarm ◽  
Multi Agent System ◽  
Agent System ◽  
Swarm Optimization ◽  
Chaotic Search ◽  
Multi Agent

The optimal operation of microgrids is a comprehensive and complex energy utilization and management problem. In order to guarantee the efficient and economic operation of microgrids, a three-layer multi-agent system including distributed management system agent, microgrid central control agent and microgrid control element agent is proposed considering energy storage units and demand response. Then, based on this multi-agent system and with the objective of cost minimization, an operation optimization model for microgrids is constructed from three aspects: operation cost, environmental impact and security. To solve this model, dynamic guiding chaotic search particle swarm optimization is adopted and three scenarios including basic scenario, energy storage participation and demand response participation are simulated and analyzed. The results show that both energy storage unit and demand response can effectively reduce the cost of microgrid, improve the operation and management level and ensure the safety and stability of power supply and utilization.

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