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Related Experiment Video

Updated: Jul 17, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Improved whale swarm algorithm for solving material emergency dispatching problem with changing road conditions.

Huawei Jiang¹, Shulong Zhang¹, Tao Guo¹

¹College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.

Mathematical Biosciences and Engineering : MBE

|September 7, 2023

Summary

This summary is machine-generated.

This study introduces an improved whale swarm algorithm to solve material emergency dispatching challenges with dynamic road conditions. The enhanced algorithm minimizes distribution costs and mitigates road condition impacts more effectively than existing methods.

Keywords:

clarke-wright algorithm material emergency dispatching road condition change scan algorithm whale swarm algorithm

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Area of Science:

Operations Research
Computer Science
Optimization Algorithms

Background:

The whale swarm algorithm (WSA) faces challenges with local extrema in material emergency dispatching.
Dynamic road conditions complicate optimal material distribution and vehicle routing.

Purpose of the Study:

To propose an improved whale swarm algorithm (IWSA) for material emergency dispatching.
To enhance the algorithm's ability to handle dynamic road conditions and avoid local optima.
To minimize material distribution costs and improve dispatching efficiency.

Main Methods:

An improved scan and Clarke-Wright algorithm initializes optimal vehicle paths.
A group movement strategy refines population updating capabilities.
A different weights strategy expands search spaces to maintain population diversity.

Main Results:

The IWSA demonstrates superior performance compared to the ant colony system and adaptive chaotic genetic algorithm.
The algorithm effectively minimizes material distribution costs.
Adverse effects of changing road conditions on dispatching are significantly reduced.

Conclusions:

The proposed IWSA offers a robust solution for material emergency dispatching under dynamic conditions.
IWSA enhances optimization by avoiding local extrema and maintaining population diversity.
This improved algorithm provides a cost-effective and efficient approach to material distribution.