Fuzzy sets based heuristics for optimization
著者
書誌事項
Fuzzy sets based heuristics for optimization
（Studies in fuzziness and soft computing, v. 126）
Springer, c2003
大学図書館所蔵 件 / 全6件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references
内容説明・目次
内容説明
The aim of this volume is to show how Fuzzy Sets and Systems can help to provide robust and adaptive heuristic optimization algorithms in a variety of situations. The book presents the state of the art and gives a broad overview on the real practical applications that Fuzzy Sets, based on heuristic algorithms, have.
目次
1. Soft Computing and Metaheuristics.- Fuzzy Adaptive Neighborhood Search: Examples of Application.- 1 Introduction.- 2 Description of FANS.- 3 On the Usefulness of Fuzzy Valuations.- 4 Examples of Application.- 5 Conclusions.- References.- Branch-and-bound algorithms using fuzzy heuristics for solving large-scale flow shop scheduling problems.- 1 Introduction.- 2 Lower bounds.- 3 Dominance rules and fuzzy approximation.- 4 Branch-and-bound algorithm.- 5 Computational experiments.- 6 Concluding remarks.- References.- A Fuzzy Adaptive Partition Algorithm (FAPA) for Global Optimization.- 1 Introduction.- 2 Fuzzy Adaptive Partitioning Approach.- 3 Computational Results.- 4 Conclusion.- References.- Fuzzy Memes in Multimeme Algorithms: a Fuzzy-Evolutionary Hybrid.- 1 Introduction.- 2 The Protein Structure Prediction Problem.- 3 Memetic Algorithms.- 4 Fuzzy Memes for Multimeme Algorithms.- 5 Experiments setup and results.- 6 Conclusions.- References.- Vehicle Routing Problem With Uncertain Demand at Nodes: The Bee System and Fuzzy Logic Approach.- 1 Introduction.- 2 Statement of the problem.- 3 A Proposed solution of the problem.- 4 Results obtained using the "intelligent" vehicle routing system.- 5 Conclusion.- References.- Fuzzy Constructive Heuristics.- 1 Introduction.- 2 Fuzzy Constructive Methods.- 3 Fuzzy Stopping Rules.- 4 The non-guillotine rectangular two-dimensional cutting problem.- 5 Computational experiments.- References.- 2. Heuristics and Mathematical Programming.- Heuristics for Optimization: two approaches for problem resolution.- 1 Introduction.- 2 Fuzzy rule learning in FMP.- 3 Fuzzy rule learning in MFGN framework.- 4 Analysis of results.- 5 Conclusions.- References.- Optimization with linguistic variables.- 1 Introduction.- 2 Optimization with linguistic variables.- 3 Examples.- 4 Extensions.- 5 Summary.- References.- Interactive Algorithms Using Fuzzy Concepts for Solving Mathematical Models of Real Life Optimization Problems.- 1 Introduction.- 2 Non-Symmetric Treatment of Linear and a Class of Non-Linear Multiobjective Fuzzy Programming Problems.- 3 PL-Pareto Optimal Solution.- 4 Calculation of Fuzzy Aspiration Levels.- 5 The Proposed IMMOFP Interactive Algorithm.- 6 Illustrative Examples.- 7 Concluding Observations.- References.- Fuzzy Data Envelopment Analysis: A Credibility Approach.- 1 Introduction.- 2 Fuzzy DEA Model.- 3 Possibility, Necessity, and Credibility Measures.- 4 CP-DEA model.- 5 Numerical Examples.- 6 Concluding Remarks.- References.- Fuzzy Optimization using Simulated Annealing: An Example Set.- 1 Introduction.- 2 Basics on the approach used for formulating and solving the example set.- 3 Set of linear examples tested and discussion of the results.- 4 Set of non-linear examples tested and discussion of the results.- 5 Conclusions.- References.- 3. Practical Heuristic Algorithms.- Multi-stage Supply Chain Network by Hybrid Genetic Algorithms.- 1 Introduction.- 2 Mathematical Model.- 3 Design of the Algorithm.- 4 Overall Procedure.- 5 Numerical Examples.- 6 Conclusion.- References.- Fuzzy evolutionary approach for multiobjective combinatorial optimization: application to scheduling problems.- 1 Introduction.- 2 Multiobjective Optimization: The State Of The Art.- 3 Fuzzy Evolutionary Approach.- 4 Application: Case Of Flexible Job-shop Scheduling Problem (FJSP).- 5 Discussions And Conclusions.- References.- Fuzzy Sets based Heuristics for Optimization: Multi-objective Evolutionary Fuzzy Modeling.- 1 Introducction.- 2 Fuzzy model identification.- 3 A technique to improve transparency and compactness of the fuzzy rule sets.- 4 Training of the RBF neural networks.- 5 Criteria for fuzzy modeling.- 6 Multi-objective neuro-evolutionary algorithm.- 7 Experiments and results.- 8 Conclusions and future research.- References.- An Interactive Fuzzy Satisficing Method for Multiobjective Operation Planning in District Heating and Cooling Plants through Genetic Algorithms for Nonlinear 0-1 Programming.- 1 Introduction.- 2 Operational Planning of a DHC Plant.- 3 An Interactive Fuzzy Satisficing Method.- 4 Genetic Algorithms for Nonlinear 0-1 Programming.- 5 Numerical Experiments.- 6 Conclusion.- References.- Adaptive Hybrid Genetic Algorithm with Fuzzy Logic Controller.- 1 Introduction.- 2 Adaptive Genetic Operators (AGOs).- 3 Proposed Hybrid Concepts and Logics.- 4 Proposed Algorithms for Experimental Comparison.- 5 Numerical Example.- 6 Conclusion.- References.- 4. Applications to Real World Problems.- Finding Satisfactory Near-Optimal Solutions in Location Problems.- 1 Introduction.- 2 The fuzzy p-median problem.- 3 Calculating the satisfaction level.- 4 An interchange heuristic procedure.- 5 Computational results.- 6 Conclusions.- References.- Route Choice Making Under Uncertainty: a Fuzzy Logic Based Approach.- 1 Introduction.- 2 Modeling Traffic Assignment.- 3 Fuzzy Sets as a Basis for Representing Imperfections.- 4 Fuzzy Sets Based Heuristics for Traffic Assignment.- 5 Analysis of the Model.- 6 Conclusions and Perspectives.- References.- A New Technique to Electrical Distribution System Load Flow Based on Fuzzy Sets.- 1 Introduction.- 2 Fuzzy Number.- 3 Fuzzy Numbers' Operators.- 4 Fuzzy Load Flow.- 5 Tests.- 6 Conclusions.- References.- A Fuzzy Adaptive Partitioning Algorithm (FAPA) for Global Optimization: Implementation in Environmental Site Characterization.- 1 Introduction.- 2 Environmental Site Characterization: Problem Definition.- 3 Implementation of Fuzzy Adaptive Partitioning Algorithm (FAPA) in Site Characterization.- 4 Numerical Results on Hypothetical Sites.- 5 Conclusion.- References.- Capacitated Vehicle Routing Problem with Fuzzy Demand.- 1 Introduction.- 2 A Fuzzy Multi-Criteria Modeling Approach.- 3 A Fuzzy Multi-Criteria Savings Heuristic.- 4 Conclusion.- References.- An Adaptive, Intelligent Control System for Slag Foaming.- 1 Introduction.- 2 The Problem Environment: Slag Foaming in an Electric Arc Steel Furnace.- 3 An Architecture for Achieving Intelligent Adaptive Control.- 4 Results.- 5 Summary.- References.
「Nielsen BookData」 より