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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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Bio-Inspired Computing and Networking

in nature. From ant-inspired allocation to a swarm algorithm derived from honeybees, Bio-Inspired Computing and Networking explains how the study;

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Bio-Inspired Computing and Networking

in nature. From ant-inspired allocation to a swarm algorithm derived from honeybees, Bio-Inspired Computing and Networking explains how the study;

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Bio-Inspired Computation and Applications in Image Processing

processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization;

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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 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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Nature-Inspired Optimization Algorithms

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

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Frontier Applications of Nature Inspired Computation

quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation;

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Metaheuristic Optimization

. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm;

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Recent Advances in Swarm Intelligence and Evolutionary Computation

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on;

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Mathematical Foundations of Nature-Inspired Algorithms

This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and;

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Nature-Inspired Computation and Swarm Intelligence

intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as;

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Advances in Swarm Intelligence

177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for;

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Nature-Inspired Optimization Algorithms

The book is a lucid description of fifteen of the existing important optimization algorithms that are based on swarm intelligence and;

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Discrete Problems in Nature Inspired Algorithms

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;

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Discrete Problems in Nature Inspired Algorithms

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;

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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an;

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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an;

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Nature Inspired Optimization for Electrical Power System

, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non;

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Nature Inspired Optimization for Electrical Power System

, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non;

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Evolutionary Machine Learning Techniques

, and the training algorithms for machine learning using classical and modern nature-inspired techniques. It also investigates the pros and cons;

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Evolutionary Machine Learning Techniques

, literature reviews, and the training algorithms for machine learning using classical and modern nature-inspired techniques. It also investigates the;

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Wireless Sensor Networks

. Discussion includes a broad, integrated perspective on various challenges and issues in WSN and also impact of bio-inspired algorithms on the;

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Advances in Swarm Intelligence

computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization;

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Advances in Bio-inspired Combinatorial Optimization Problems illustrates several recent bio-inspired efficient algorithms for solving NP;

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Optimization of Type 2 Fuzzy Controllers Using the Bee Colony Algorithm

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering;

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

This book focuses on the fields of nature-inspired algorithms, optimization problems and fuzzy logic. In this book, a new metaheuristic;

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