A multi-objective decomposition-based ant colony optimisation algorithm with negative pheromone

Author:

Ning Jiaxu1,Zhao Qidong2,Sun Peng3,Feng Yunfei4

Affiliation:

1. School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China

2. School of Computer Science and Engineering, Northeastern University, Shenyang, China

3. Fidelity Investment-Veritude, Boston, SC, USA

4. Sam’s Club Technology Wal-mart Inc., Bentonville, AR, USA

Funder

Liaoning province doctor launching fund

Key Project of National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Reference34 articles.

1. Synchronous and asynchronous Pareto-based multi-objective Artificial Bee Colony algorithms

2. Barán, B. & Schaerer, M. (2003, February). A multiobjective ant colony system for vehicle routing problem with time windows. In The 21st IASTED international Multi-Conference on Applied Infomatics, Innsbruck, Austria. (pp. 97–102). IASTED.

3. Multi-objective ant colony optimization based on decomposition for bi-objective traveling salesman problems

4. Electric Vehicle Charge Scheduling Mechanism to Maximize Cost Efficiency and User Convenience

5. MOPSO: a proposal for multiple objective particle swarm optimization

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