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Reactive Search and Intelligent Optimization

Reactive Search and Intelligent Optimization is an excellent introduction to the main principles of reactive search, as well as an attempt;

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Budget Constraints and Optimization in Sponsored Search Auctions

optimization in sponsored search auctions takes into account consideration of the entire life cycle of campaigns for researchers and developers working;

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Intelligent System Applications In Power Engineering

This text on evolutionary computation presents an account of neural network and evolutionary programming applications as optimization;

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Intelligent Control

processes is to combine the strengths of both Lyapunov theory/H theory-based local search methods and stochastic optimization-based global search;

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Advances in Swarm Intelligence

of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their;

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Advances in Swarm Intelligence

of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their;

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Intelligent Optimization and Control of Complex Metallurgical Processes

This book discusses the intelligent optimization and control of complex metallurgical processes, including intelligent optimization and;

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Intelligent Optimization and Control of Complex Metallurgical Processes

This book discusses the intelligent optimization and control of complex metallurgical processes, including intelligent optimization and;

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Metaheuristic Optimization in Power Engineering

algorithms, particle swarm optimization, and the gravitational search algorithm. Applications covered include power flow calculation; optimal power;

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists;

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Advanced Search Engine Optimization

Advanced Search Engine Optimization Tactics and Techniques.;

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Optimization in Engineering Sciences

The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems;

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Intelligent Computing Technology

information security, intelligent sensor networks, knowledge representation/reasoning and expert systems, hybrid optimization, and bio-inspired;

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent;

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New Optimization Algorithms and their Applications

engaged in computer and intelligent algorithm work and engineering with one source of information on novel optimization algorithms.

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Nature Inspired Optimization for Electrical Power System

This book presents a wide range of optimization methods and their applications to various electrical power system problems such as;

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Nature Inspired Optimization for Electrical Power System

This book presents a wide range of optimization methods and their applications to various electrical power system problems such as;

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Parallel Problem Solving from Nature -- PPSN XIV

, landscape-aware heuristic search, natural computing in scheduling and timetabling, and advances in multi-modal optimization. PPSN XIV also;

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Advances in Swarm Intelligence, Part I

. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field;

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Learning and Intelligent Optimization

This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Learning and Intelligent;

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Learning and Intelligent Optimization

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent;

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Tuning Innovation with Biotechnology

approaches optimal intelligent tuning using a hybrid genetic algorithm-particle swarm optimization (GA-PSO) and illustrates hybrid GA-PSO for;

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Intelligent Computing Theories and Methodologies

swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning;

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Intelligent Computing Theories and Methodologies

swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning;

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