New definition and calculation model for evolutionary multi-objective optimization

Ai Min Zhou; Li Shan Kang; Yu Ping Chen; Yu Zhen Huang

doi:10.1007/bf02899477

New definition and calculation model for evolutionary multi-objective optimization

Ai Min Zhou, Li Shan Kang^*, Yu Ping Chen, Yu Zhen Huang

^*Corresponding author for this work

Wuhan University

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

We present a new definition (Evolving Solutions) for Multi-objective Optimization Problem (MOP) to answer the basic question (what's multi-objective optimal solution?) and advance an asynchronous evolutionary model (MINT Model) to solve MOPs. The new theory is based on our understanding of the natural evolution and the analysis of the difference between natural evolution and MOP, thus it is not only different from the Converting Optimization but also different from Pareto Optimization. Some tests prove that our new theory may conquer disadvantages of the upper two methods to some extent.

Original language	English
Pages (from-to)	189-194
Number of pages	6
Journal	Wuhan University Journal of Natural Sciences
Volume	8
Issue number	1 B
DOIs	https://doi.org/10.1007/bf02899477
State	Published - Mar 2003
Externally published	Yes

Keywords

Evolving equilibrium
Evolving solutions
MINT model
Multi-objective optimization

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10.1007/bf02899477

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title = "New definition and calculation model for evolutionary multi-objective optimization",

abstract = "We present a new definition (Evolving Solutions) for Multi-objective Optimization Problem (MOP) to answer the basic question (what's multi-objective optimal solution?) and advance an asynchronous evolutionary model (MINT Model) to solve MOPs. The new theory is based on our understanding of the natural evolution and the analysis of the difference between natural evolution and MOP, thus it is not only different from the Converting Optimization but also different from Pareto Optimization. Some tests prove that our new theory may conquer disadvantages of the upper two methods to some extent.",

keywords = "Evolving equilibrium, Evolving solutions, MINT model, Multi-objective optimization",

author = "Zhou, \{Ai Min\} and Kang, \{Li Shan\} and Chen, \{Yu Ping\} and Huang, \{Yu Zhen\}",

year = "2003",

month = mar,

doi = "10.1007/bf02899477",

language = "英语",

volume = "8",

pages = "189--194",

journal = "Wuhan University Journal of Natural Sciences",

issn = "1007-1202",

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TY - JOUR

T1 - New definition and calculation model for evolutionary multi-objective optimization

AU - Zhou, Ai Min

AU - Kang, Li Shan

AU - Chen, Yu Ping

AU - Huang, Yu Zhen

PY - 2003/3

Y1 - 2003/3

N2 - We present a new definition (Evolving Solutions) for Multi-objective Optimization Problem (MOP) to answer the basic question (what's multi-objective optimal solution?) and advance an asynchronous evolutionary model (MINT Model) to solve MOPs. The new theory is based on our understanding of the natural evolution and the analysis of the difference between natural evolution and MOP, thus it is not only different from the Converting Optimization but also different from Pareto Optimization. Some tests prove that our new theory may conquer disadvantages of the upper two methods to some extent.

AB - We present a new definition (Evolving Solutions) for Multi-objective Optimization Problem (MOP) to answer the basic question (what's multi-objective optimal solution?) and advance an asynchronous evolutionary model (MINT Model) to solve MOPs. The new theory is based on our understanding of the natural evolution and the analysis of the difference between natural evolution and MOP, thus it is not only different from the Converting Optimization but also different from Pareto Optimization. Some tests prove that our new theory may conquer disadvantages of the upper two methods to some extent.

KW - Evolving equilibrium

KW - Evolving solutions

KW - MINT model

KW - Multi-objective optimization

UR - https://www.scopus.com/pages/publications/0041324962

U2 - 10.1007/bf02899477

DO - 10.1007/bf02899477

M3 - 文章

AN - SCOPUS:0041324962

SN - 1007-1202

VL - 8

SP - 189

EP - 194

JO - Wuhan University Journal of Natural Sciences

JF - Wuhan University Journal of Natural Sciences

IS - 1 B

ER -

New definition and calculation model for evolutionary multi-objective optimization

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Keywords

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