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Multiobjective Optimization Methodology

The first book to focus on jumping genes outside bioscience and medicine, Multiobjective Optimization Methodology: A Jumping Gene Approach;

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Multiobjective Optimization Methodology

The first book to focus on jumping genes outside bioscience and medicine, Multiobjective Optimization Methodology: A Jumping Gene Approach;

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Nonlinear Multiobjective Optimization

Arguably, many industrial optimization problems are of the multiobjective type. The present work, after providing a survey of the state;

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Fuzzy Sets and Interactive Multiobjective Optimization

approaches to decision-making under constraints is multiobjective optimization as a generalization of traditional single-objective optimization;

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Multiobjective Optimization

, multiobjective optimization has emerged as a rapdily growing area. In this monograph the author draws from the more mature body of literature on;

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Nonlinear Multiobjective Optimization

Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making;

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Environmental Systems Engineering and Economics

optimization and the linked simulation-optimization (LSO) methodology are also introduced. The basic principles of economics and engineering economics;

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Thermodynamic Analysis and Optimization of Geothermal Power Plants

Thermodynamic Analysis and Optimization of Geothermal Power Plants guides researchers and engineers on the analysis and optimization;

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Solving Optimization Problems with MATLAB (R)

This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied;

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Multiple Criteria Decision Analysis

Multiobjective Optimization, contains chapters on recent developments of vector and set optimization, the state of the art in continuous multiobjective;

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Learning and Intelligent Optimization

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization;

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Pseudolinear Functions and Optimization

Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear functions, a class of generalized convex;

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Pseudolinear Functions and Optimization

Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear functions, a class of generalized convex;

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Diversification Methods for Infrastructure Systems Optimization

optimization. Additionally, the book tests the diversification metrics and the related methodologies in a case study of hundreds of millions of dollars;

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Parallel Problem Solving from Nature PPSN XVI

-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and;

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Parallel Problem Solving from Nature PPSN XVI

-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and;

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Multiobjective Decision Making

This first-rate text explores the theory and methodology of systems engineering in evaluating alternative courses of action and associated;

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Linear and Integer Programming

rounding-off, column-generation, game theory, multiobjective optimization, and goal programming, as well as real-world solutions to the;

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From Smart Grids to Smart Cities

This book addresses different algorithms and applications based on the theory of multiobjective goal attainment optimization. In detail the;

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Optimization for Chemical and Biochemical Engineering

Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications;

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Multiobjective Programming and Plan

This text takes a broad view of multiobjective programming, emphasizing the methods most useful for ;...

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Nonlinear Programming Techniques for Equilibria

complementarity, variational inequalities, multiobjective optimization, fixed point problems, noncooperative games and inverse optimization. Moreover, the;

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Electromagnetic Optimization By Genetic Algorithms

optimization methodology that allows a global search of the cost surface via statistical random processes dictated by the Darwinian evolutionary;

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New State of MCDM in the 21st Century

decision making areas. It consists of three parts: MCDM Foundation and Theory, MCDM Methodology, and MCDM Applications. In Part I, it covers the;

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Genetic Algorithms And Engineering Optimization

advances in the use of genetic algorithms (GAs) to solve optimization problems in everything from product design to scheduling and client/server;

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Bilevel Optimization

roots of bilevel optimization. Research on the topic has grown tremendously since its introduction in the field of mathematical optimization;

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Bilevel Optimization

roots of bilevel optimization. Research on the topic has grown tremendously since its introduction in the field of mathematical optimization;

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