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A Framework for Alternation of Meta-Heuristic Algorithms

This work presents a new approach based on the alternation of meta-heuristic algorithms solving the problems of combinatorial optimization;

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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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Dynamic Parameter Adaptation for Meta Heuristic Optimization Algorithms Through

In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on;

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Advances on Computational Intelligence in Energy

the practical steps required for applying bio-inspired, meta-heuristic algorithms in energy, such as the prediction of oil consumption and;

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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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Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms

. Part II: Deep Statistical Comparison of meta-heuristic stochastic optimization algorithms - Chapters 5-7. Part III: Implementation and;

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Metaheuristics for Maritime Operations

and planning problems in both bulk and container shipping as well as liquid maritime transportation. Application of meta heuristic algorithm;

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Meta-Learning

ability to apply meta-learning for various novel applications. A comprehensive overview of state-of-the-art meta-learning techniques;

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Quantum Inspired Meta-heuristics for Image Analysis

image analysis. As a result, it will pave the way for designing and developing quantum computing inspired meta-heuristics to be applied to image;

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Heuristic Algorithms for Adaptive Resource Management of Periodic Task

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Combinatorial Algorithms

Hill-climbing Heuristic search algorithms This work serves as an exceptional textbook for a modern course in combinatorial;

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Combinatorial Algorithms

Hill-climbing Heuristic search algorithms This work serves as an exceptional textbook for a modern course in combinatorial;

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Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining

of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical;

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Heuristic Search

thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to;

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Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

problems can be modelled as multi-objective formulations. This book provides an introduction to multi-objective optimization using meta-heuristic;

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A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works;

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Nature-Inspired Computing Applications in Advanced Communication Networks

systems is a challenge, however, due to the abundance of optimization problems within these networks. The use of meta-heuristic algorithms and;

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Nature-Inspired Computing Applications in Advanced Communication Networks

systems is a challenge, however, due to the abundance of optimization problems within these networks. The use of meta-heuristic algorithms and;

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Nature-Inspired Methods for Metaheuristics Optimization

group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems;

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Bio inspired Algorithms for Data Streaming and Visualization Big Data Managemen

analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and;

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Exact and Heuristic Scheduling Algorithms

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A Catholic Christian Meta-Model of the Person

, and theology-to provide a framework for understanding the person. The Meta-Model develops a more systematic, integrative, and non-reductionist;

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A Brief Introduction to Continuous Evolutionary Optimization

problem is available except via function evaluations. This work introduces a collection of heuristics and algorithms for black box optimization;

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Meta Analysis

topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to;

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Computational Intelligence Techniques and Their Applications to Software Engineering Problems

of different solve optimization problems under software engineering domain Covers heuristic as well as meta-heuristic algorithms designed to;

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Applications of Cuckoo Search Algorithm and its Variants

in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated;

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Classical and Recent Aspects of Power System Optimization

Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms;

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