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Search Algorithms for Engineering Development

This elaborative book discusses the concept of search algorithms for engineering development. Heuristic search is a significant sub;

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Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applicatio

problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge;

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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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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

This volume constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms. Inside;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony;

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Metaheuristics and Optimization in Civil Engineering

advantages in solving complex engineering problems that cannot be effectively tackled by traditional methods, and citing the most important works for;

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Integrated And Collaborative Product Development Environment

complementary functions of concurrent engineering and Internet-based collaborative engineering, is imperative for companies to facilitate and expedite;

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Proceedings of the First International Conference on Genetic Algorithms and their Applications

Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large;

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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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Combinatorial Algorithms

This textbook thoroughly outlines combinatorial algorithms for generation, enumeration, and search. Topics include backtracking and;

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Combinatorial Algorithms

This textbook thoroughly outlines combinatorial algorithms for generation, enumeration, and search. Topics include backtracking and;

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Metaheuristics in Water, Geotechnical and Transport Engineering

, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and;

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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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Metaheuristics

of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary;

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Metaheuristic Applications in Structures and Infrastructures

, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and;

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Search Based Software Engineering

This book constitutes the refereed proceedings of the 9th International Symposium on Search-Based Software Engineering, SSBSE 2017, held;

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Computational Methods and Production Engineering

articles with a special emphasis on research and development in production engineering and production organization for modern industry. Innovation;

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Optimization Using Evolutionary Algorithms and Metaheuristics

Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search;

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String Algorithms in C

Implement practical data structures and algorithms for text search and discover how it is used inside other larger applications. This;

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String Algorithms in C

Implement practical data structures and algorithms for text search and discover how it is used inside other larger applications. This;

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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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Nature-Inspired Optimization Algorithms

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

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Stochastic Local Search

Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult;

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Nature-Inspired Metaheuristic Algorithms

Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough;

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Computational Intelligence Optimization and Inverse Problems with Applications

of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important;

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Combinatorial Optimization

of NP-complete problems; approximation algorithms, local search heuristics for NP-complete problems, more. All chapters are supplemented by;

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Natural Computing Algorithms

research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural;

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