서지주요정보
효율적인 이주기법을 이용한 병렬 진화연산 및 이의 응용 = Parallel evolutionary algorithm using efficient migration method and its applications
서명 / 저자 효율적인 이주기법을 이용한 병렬 진화연산 및 이의 응용 = Parallel evolutionary algorithm using efficient migration method and its applications / 최인환.
저자명 최인환 ; Choi, In-Hwan
발행사항 [대전 : 한국과학기술원, 1998].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8008888

소장위치/청구기호

학술문화관(문화관) 보존서고

MEE 98098

SMS전송

도서상태

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반납예정일

초록정보

Evoultionary algorithms are search processes, inspired by concepts from evolution, which find good solutions to hard problems in a reasonable time. Though EAs are computationally simple, they are powerful and robust in searching complex spaces, and are not limited by assumptions about the search space. But, real applications such as VLSI layout problems sometimes require a large number of individual and many generations. In such case, parallelization of EAs is a promising approach to find beeter solutions in shoter times. PEA performance is mainly affected by migration method, and many researches on PEA are about migration scheme. This paper presents two migration schemes. They are selective migration method and environmnet variable migration. First method promotes diversity of algorithm, and second method provides higher convergence environment. To test the performance of proposed methods, six unconstrained problems and five constrained problems are evaluated for global minima. Results indicate that a significant increase in performance can be had by implementing PEA using proposed migration mathod. And, the applicability of proposed methods for real problem is demonstrated by neural network structure optimzation.

서지기타정보

서지기타정보
청구기호 {MEE 98098
형태사항 [iii], 54 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : In-Hwan Choi
지도교수의 한글표기 : 김종환
지도교수의 영문표기 : Jong-Hwan Kim
학위논문 학위논문(석사) - 한국과학기술원 : 전기및전자공학과,
서지주기 참고문헌 : p. 49-52
주제 병렬 진화연산
이주
Parallel evolutionary algorithm
Migration
Coarse-grained
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