arrow
Return

A novel meta-heuristic optimization algorithm: Thermal exchange optimization

delete2017-08-01
delete461
PRE
AI
A
A. Kaveh *
A
Armin Dadras Eslamlou
DOI:10.1016/j.advengsoft.2017.03.014delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This paper introduces a new optimization algorithm based on Newton's law of cooling, which will be called Thermal Exchange Optimization algorithm. Newton's law of cooling states that the rate of heat loss of a body is proportional to the difference in temperatures between the body and its surroundings. Here, each agent is considered as a cooling object and by associating another agent as environment, a heat transferring and thermal exchange happens between them. The new temperature of the object is considered as its next position in search space. The performance of the algorithm is examined by some mathematical functions and four mechanical benchmark problems. (C) 2017 Elsevier Ltd. All rights reserved.
Keywords:
Optimization
Metaheuristic algorithm
Thermal exchange optimization
Mathematical functions
Mechanical systems
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Advances in Engineering Software cover
Advances in Engineering Software
IF:
5.7
Papers:
3.3K
Citations:
1.2W

Organization

No organization information available