Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows

Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows

In this paper, we propose a novel ant colony optimization algorithm based on improved brainstorm optimization (IBSO-ACO) to solve the vehicle routing problem with soft time windows. Compared with the traditional ant colony algorithm, the proposed IBSO-ACO can better address the local optimum problem...

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Bibliographic Details
Main Authors: Libing Wu, Zhijuan He, Yanjiao Chen, Dan Wu, Jianqun Cui
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Vehicle routing problem with soft time window
improved brainstorm optimization
Online Access:https://ieeexplore.ieee.org/document/8639011/

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