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The GLOBAL Optimization Algorithm

dimensional global optimization problems. The algorithm uses clustering to ensure efficiency and is modular in regard to the two local search methods;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

Parthenogenesis Optimization algorithm. In the third edition, five new chapters are included consisting of the recently developed algorithms. These;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

Parthenogenesis Optimization algorithm. In the third edition, five new chapters are included consisting of the recently developed algorithms. These;

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Global Optimization Using Interval Analysis

Employing a closed set-theoretic foundation for interval computations, Global Optimization Using Interval Analysis simplifies algorithm;

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Mathematical Optimization Terminology

vector regression. This book also discusses about gradient-based cuckoo search for global optimization, a hybrid cuckoo search algorithm;

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Metaheuristic Optimization

. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm;

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Teaching Learning Based Optimization Algorithm

Describing a new optimization algorithm, the Teaching-Learning-Based Optimization (TLBO), in a clear and lucid style, this book;

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

various algorithms that include the genetic algorithm, simulated annealing, differential evolution, ant colony optimization, tabu search, particle;

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New Optimization Algorithms and their Applications

New Optimization Algorithms and Applications: Atom-Based, Ecosystem-Based and Economics-Based presents the development of three new;

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Learning and Intelligent Optimization

This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Learning and Optimization;

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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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Combinatorial Optimization Problems in Planning and Decision Making

second polynomial component of the PSC-algorithm); also, for NP-hard combinatorial optimization problems, an exact subalgorithm if sufficient;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta;

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Advances in Swarm Intelligence

Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks;

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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization;

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving;

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Advances in Swarm Intelligence

swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization;

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Advances in Swarm Intelligence

swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization;

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Advances in Swarm Intelligence

; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization.;

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Optimization Models in Steganography Using Metaheuristics

This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing;

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Optimization Models in Steganography Using Metaheuristics

This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing;

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Robust and Constrained Optimization

decision making under uncertainty. Thus, the opening chapter of Robust and Constrained Optimization: Methods and Applications introduces different;

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Note on Inheritance & Generalizability

proposition. The second part is on the investigation of the global search optimization algorithm use called the Cutting Angle Method (CAM) on Optimal;

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Multi-mode Active Vibration Control Using H Optimization MIMO Positive Position Feedback Based Genetic Algorithm

Multi-Mode Active Vibration Control Using H Optimization Mimo Positive Position Feedback Based Genetic Algorithm is een boek van Zhonghui;

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Advances in Swarm Intelligence

computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization;

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Nature-Inspired Computation in Engineering

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications;

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Optimization of Routing Algorithm for Wsn Using Aco

algorithm should be optimized by a technique known as ANT COLONY OPTIMIZATION which gives the shortest path.;

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