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Genetic Fuzzy Scheduling

Genetic Fuzzy Scheduling is een boek van Joachim Lepping;

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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved;

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Healthcare Staff Scheduling: Emerging Fuzzy Optimization Approaches

Healthcare operations, in hospitals and home healthcare settings, are inundated with complex fuzzy features that impose difficulties in the;

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Healthcare Staff Scheduling: Emerging Fuzzy Optimization Approaches

Healthcare operations, in hospitals and home healthcare settings, are inundated with complex fuzzy features that impose difficulties in the;

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Genetic Algorithms, Fuzzy Systems & Website Classification

This book presents and discusses current research in the study of genetic algorithms, fuzzy systems and website classification. Topics;

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Sequencing & Scheduling with Inaccurate Data

is given as random numbers, fuzzy numbers or whether it is uncertain (ie: it can take values from a given interval). This book considers the four;

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Recent Advances in Intuitionistic Fuzzy Logic Systems and Mathematics

This book provides an overview of the state-of-the-art in both the theory and methods of intuitionistic fuzzy logic, partial differential;

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A Genetic Algorithm for Resource-Constrained Project Scheduling

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Recent Advances in Intuitionistic Fuzzy Logic Systems

This book aims at providing an overview of state-of-the-art in both the theory and methods of intuitionistic fuzzy logic, partial;

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Genetic and Hybrid Algorithm Approaches to Flow Shop Scheduling

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Genetic Programming for Production Scheduling

This book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling. The;

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Advances in Swarm and Computational Intelligence

separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems;

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Advances in Swarm and Computational Intelligence

separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems;

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Advances in Swarm and Computational Intelligence

separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems;

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Genetic Algorithms

The aim of this book is to present state-of-the-art information regarding the practical applications of genetic algorithms. It discusses;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic;

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Fuzzy Control Systems

controllers. The various paradigms include fuzzy reasoning models, fuzzy neural networks, fuzzy expert systems, and genetic algorithms. The final part;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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A Learner's Guide to Fuzzy Logic Systems, Second Edition

This book presents an introductory coverage of fuzzy logic, including basic principles from an interdisciplinary perspective. It includes;

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Genetic Algorithms And Engineering Optimization

, and genetic optimizations-and to show how GAs can be used to solve an array of constrained, combinatorial, multiobjective, and fuzzy;

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Automated Scheduling and Planning

search techniques, linear programming, genetic algorithms and ant colony optimisation.The field of automated scheduling has the potential to;

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Advanced Fuzzy Logic Approaches in Engineering Science

problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and;

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Intelligent Scheduling of Robotic Flexible Assembly Cells

occur. The developed strategy, which is based on a combination of advanced solution approaches such as simulation, fuzzy logic, system modeling;

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Intelligent Scheduling of Robotic Flexible Assembly Cells

occur. The developed strategy, which is based on a combination of advanced solution approaches such as simulation, fuzzy logic, system modeling;

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Metaheuristics for Production Scheduling

Setup Times, Mansour Eddaly, Bassem Jarboui, Radhouan Bouabda, Patrick Siarry and Abdelwaheb Rebai. 2. Genetic Algorithms for Solving Flexible;

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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

combined using fuzzy logic. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and;

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