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  4. An Electromagnetic Attraction and Repulsion Simulated Techniques-based Optimalization Software Framework and Applied Solving Systems
 
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An Electromagnetic Attraction and Repulsion Simulated Techniques-based Optimalization Software Framework and Applied Solving Systems

Date Issued
2005
Date
2005
Author(s)
Kang, Chin-Yuan
DOI
zh-TW
URI
http://ntur.lib.ntu.edu.tw//handle/246246/51181
Abstract
The electromagnetic-like mechanism (EM) optimization algorithm is a new developing heuristic algorithm. Typical EM algorithm applies to solve continuous optimization problems without general constraints. This research analyzes the detail of EM algorithm and generalizes the compatibility of all kinds of optimization problems, and develops a meta level EM algorithm for solving all kinds of optimization problems. This research probes into the design pattern of EM and carries on systematic function analysis and structural design, then uses object-oriented technique to develop an electromagnetic attraction and repulsion simulated techniques-based optimalization software framework and applied solving systems. This research has developed four EM-based optimization system. These software systems include an MS Excel interfaced optimization package, EMBOS-E (EM-Based Optimization System for Excel); a C# programming languages interfaced software package, EMBOS-NET (EM-Based Optimization System for .NET); a software development kit for creating EM optimization solvers, EMBOSDK (EM-Based Optimization Software Development Kit); and an object-oriented software framework for optimization system developments, EMBOF (EM-Based Optimization Framework). Naive users can use EMBOS-E to setup and run their optimization problems on the Excel platform. Intermediate users can use EMBOS-NET and C# programming language to define their problems and implement additional procedures. Their written code will be runtime compiled, linked, and executed. Advanced users can either use EMBOSDK or EMBOF to develop their own solving packages. EMBOSDK uses API function calls to construct their systems. Object-oriented techniques are used to build optimization systems by using classes of EMBOF.
Subjects
仿電磁吸斥優化演算法
泛用型仿電磁吸斥優化演算法
仿電磁吸斥優化演算法為基的求解軟體礎架及套裝求解系統
設計典樣
Electromagnetism-link Mechanism
Framework
Heuristic Algorithm
Type
thesis
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ntu-94-R92546023-1.pdf

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(MD5):80418f978641424b9db141db53b3625c

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