A hybrid multi‐objective tour route optimization algorithm based on particle swarm optimization and artificial bee colony optimization-Reference-Cited by-同舟云学术

A hybrid multi‐objective tour route optimization algorithm based on particle swarm optimization and artificial bee colony optimization

Published:2020-01-25 Issue:3 Volume:36 Page:884-909
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Beed Romit¹^ORCID,Roy Arindam²,Sarkar Sunita³,Bhattacharya Durba⁴^ORCID

Affiliation:

1. Department of Computer ScienceSt. Xavier's College Kolkata West Bengal India

2. Department of Computer ScienceAssam University Assam India

3. Department of Computer Science and EngineeringAssam University Assam India

4. Department of Statistics, St. Xavier's College, Kolkata West Bengal India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12276

Reference26 articles.

1. KarabogaD. An idea based on honey bee swarm for numerical optimization. Technical Report TR06;2005; Engineering Faculty Computer Engineering Department Erciyes University.

2. On the performance of artificial bee colony (ABC) algorithm

3. Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

4. Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands

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