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Optimizing Engineering Problems through Heuristic Techniques

This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three;

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Optimizing Engineering Problems through Heuristic Techniques

This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three;

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Search-Based Software Engineering

problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges;

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Computational Intelligence Techniques and Their Applications to Software Engineering Problems

Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence;

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Search-Based Software Engineering

subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges - from test;

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Heuristic Search

This book aims to provide a general overview of heuristic search, to present the basic steps of the most popular heuristics, and to stress;

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What Every Engineer Should Know About Decision Making Under Uncertainty

Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering;

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Search-Based Software Engineering

-heuristic optimization techniques to various software engineering problems, ranging from requirements engineering to software testing and;

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Search Based Software Engineering

Engineering (SBSE) studies the application of meta-heuristic optimization techniques to various software engineering problems, ranging from;

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Search Based Software Engineering

the application of meta-heuristic optimization techniques to various software engineering problems, ranging from requirements engineering to;

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Modern Heuristic Optimization Techniques

systems. It begins with an overview of modern heuristic techniques and goes on to cover specific applications of heuristic approaches to power;

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Reliability and Risk Modeling of Engineering Systems

techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance;

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Telecommunications Optimization

describing the essence of the problems and then the heuristic and adaptive techniques which are now recognised as adept at solving these problems;

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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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Foundations of Data Science for Engineering Problem Solving

problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal;

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Foundations of Data Science for Engineering Problem Solving

problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal;

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Advances in Heuristic Signal Processing and Applications

algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal;

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Optimization Problems in Graph Theory

based on Gregory Gutin's fundamental contributions to advanced methods and techniques in combinatorial optimization. Researchers, students, and;

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Swarm Intelligence & Fuzzy Systems

Past research has shown that swarm intelligence techniques and fuzzy logic are two useful tools for solving practical engineering problems;

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Frontier Applications of Nature Inspired Computation

This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the;

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Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on;

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Project Scheduling with Time Windows

make-to-order production planning. The book shows how Constraint Propagation techniques from Artificial Intelligence can be successfully;

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Optimization Using Evolutionary Algorithms and Metaheuristics

, high-quality evaluations of nonfiction academic writing. Metaheuristic optimization is a higher-level procedure or heuristic designed to;

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Optimizing Current Strategies and Applications in Industrial Engineering

that improve performance and efficiencies. Emerging research on these latest trends, strategies, and techniques is needed to ensure that;

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Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling

Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling is een boek van Mdpi Ag;

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Engineering Methods For Robust Product Design

With practical techniques, real-life examples, and special software, this hands-on book/disk package teaches practicing engineers and;

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