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A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics

based on String Theory from Physics is proposed. It is important to mention that we have proposed the new algorithm to generate new potential;

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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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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for 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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Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms

Focusing on comprehensive comparisons of the performance of stochastic optimization algorithms, this book provides an overview of the;

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Applications of Cuckoo Search Algorithm and its Variants

This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems;

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Optimizing Engineering Problems through Heuristic Techniques

evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like ant colony;

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Optimizing Engineering Problems through Heuristic Techniques

Describes evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like;

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Optimization Using Evolutionary Algorithms and Metaheuristics

: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling;

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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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Applications of Bat Algorithm and its Variants

application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic;

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Applications of Flower Pollination Algorithm and its Variants

find optimal solution for a variety of real-world engineering and medical problems. Swarm intelligence-based meta-heuristic algorithms are;

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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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Optimization Problems in Graph Theory

classes * A general technique for heuristic algorithms for optimization problems * The network design problem with cut constraints * Algorithms;

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String Theory And Its Applications

senior researchers with a survey of important topics in particle physics and string theory, with special emphasis on applications of methods from;

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Optimization Using Evolutionary Algorithms and Metaheuristics

find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem;

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Metaheuristics for Maritime Operations

Metaheuristic Algorithms in Maritime Operations Optimization focuses on the seaside and port side problems regarding the maritime;

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Iterative Learning Control

This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use;

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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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Naturalness, String Landscape and Multiverse

This book presents a string-theoretic approach to new ideas in particle physics, also known as Physics Beyond the Standard Model, and to;

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Search-Based Software Engineering

track papers were carefully reviewed and selected from 48 submissions. Search Based Software Engineering (SBSE) studies the application of meta;

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Parallel Problem Solving from Nature -- PPSN XIV

-heuristics; a bridge between optimization over manifolds and evolutionary computation; implementing evolutionary algorithms in the cloud; the;

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Particle Swarm Optimization

This work aims to provide new introduction to the particle swarm optimization methods using a formal analogy with physical systems. By;

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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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Advances in Metaheuristic Algorithms for Optimal Design of Structures

based on the Charged System Search algorithm, In the second edition seven new chapters are added consisting of Enhance colliding bodies;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

based on the Charged System Search algorithm, In the second edition seven new chapters are added consisting of Enhance colliding bodies;

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