Contribution to design of complex mechatronic systems. An approach through evolutionary optimization

被引：0

作者：

Sakka, S ^{[1
]}

Coiffet, P

机构：

[1] Natl Inst Adv Ind Sci & Technol, AIST Tsukuba, ISI, JRL, Tsukuba, Ibaraki, Japan

[2] Univ Versailles, LRV, Velizy Villacoublay, France

来源：

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS | 2005年 / 42卷 / 01期

关键词：

evolutionary programming; multi-criteria optimization; mixed-integer genotypes; variable-length chromosomes; preliminary design control; trajectory planning generator;

D O I：

10.1007/s10846-004-3395-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes a new evolutionary methodology aimed at optimizing various and heterogeneous data in common evolution. The representation of solutions uses mixed-integer genotypes and variable-length chromosomes to face a complex problem of task decomposition and high-level control generation. A memory operator is introduced to face convergency uncertainties issued from the irregularities of both discontinuous evaluation function and heterogeneous solution representation. The stability of the evolutionary algorithm is analyzed with dimension changes in the optimization problem.

引用

页码：1 / 25

页数：25

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