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Algorithms for Variable-Size Optimization

optimization algorithms are not suitable for such problems. The book presents recently developed optimization concepts that are designed to solve such;

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Algorithms for Variable-Size Optimization

optimization algorithms are not suitable for such problems. The book presents recently developed optimization concepts that are designed to solve such;

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Fundamentals of Optimization Techniques with Algorithms

traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB (c) code optimization techniques, for;

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Nested algorithms for optimal reservoir operation and their embedding in a decision support platform

for water resources modeling and optimization. The platform is available 24/7, accessible from everywhere, scalable, distributed;

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Nested Algorithms for Optimal Reservoir Operation and Their Embedding in a Decision Support Platform

for water resources modeling and optimization. The platform is available 24/7, accessible from everywhere, scalable, distributed;

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Introduction to Optimization Methods

in the investigation of large systems. This book is an introduction to non-linear methods of optimization and is suitable for undergraduate and;

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Recent Advances in Optimal Structural Design

optimization. Topics include: methods for discrete variable structural optimization; decomposition methods in structural optimization; state of the art;

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Genetic Algorithms in Electromagnetics

materials* Ideas on operator and parameter selection for a GA* Detailed explanations of particle swarm optimization and multiple objective;

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Data Correcting Approaches in Combinatorial Optimization

Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable;

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Computational Intelligence in Expensive Optimization Problems

inheritance), frameworks for optimization (model management, complexity control, model selection), parallelization of algorithms (implementation;

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Metaheuristics for Structural Design and Analysis

Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles;

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Foundations of Genetic Algorithms 1991 (FOGA 1)

likewise covers the genetic algorithms for real parameter optimization and isomorphisms of genetic algorithms. This publication is a good reference;

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Swarm Intelligence

, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to;

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Swarm Intelligence

intelligence optimization methods, complete with illustrative examples and an extendable MATLAB (R) package for feature selection in wrapper mode;

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Attraction in Numerical Minimization

Numerical minimization of an objective function is analyzed in this book to understand solution algorithms for optimization problems;

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Partitional Clustering via Nonsmooth Optimization

implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering;

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Partitional Clustering via Nonsmooth Optimization

implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering;

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New Optimization Algorithms and their Applications

>Presents three novel optimization algorithms for engineering Gives various applications and design examples for each algorithm

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

the implementation of the classical and evolutionary algorithms in the program for the optimization of optical systems. Every chapter in this;

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Algorithms for Convex Optimization

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous;

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Algorithms for Convex Optimization

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous;

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Robust Cluster Analysis and Variable Selection

clear guidance for the varying needs of both applications, describing scenarios in which accuracy and speed are the primary goals. Robust;

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Accelerated Optimization for Machine Learning

of first-order optimization algorithms is crucial for the efficiency of machine learning. Written by leading experts in the field, this book;

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Accelerated Optimization for Machine Learning

of first-order optimization algorithms is crucial for the efficiency of machine learning. Written by leading experts in the field, this book;

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Statistical Analysis of Graph Structures in Random Variable Networks

of algorithms of network structure identification with applications to market network analysis. For this, a mathematical model of random variable;

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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering;

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