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Applications of Firefly Algorithm and its Variants

of the firefly algorithm to select features, as research has shown that the firefly algorithm generates precise and optimal results in terms;

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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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Socio Inspired Optimization Methods for Advanced Manufacturing Processes

by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and;

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Socio Inspired Optimization Methods for Advanced Manufacturing Processes

by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and;

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Applications of Flower Pollination Algorithm and its Variants

This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to;

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Applications of Bat Algorithm and its Variants

This book highlights essential concepts in connection with the traditional bat algorithm and its recent variants, as well as its;

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Recent Advances in Swarm Intelligence and Evolutionary Computation

, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Nature-Inspired Computation in Engineering

in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo;

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Nature-Inspired Optimization Algorithms

. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive;

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Nature-Inspired Metaheuristic Algorithms

, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with;

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Nature-Inspired Optimization Algorithms

. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive;

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Swarm Intelligence

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search;

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Swarm Intelligence

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search;

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Metaheuristic Optimization

-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex;

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Optimizing Engineering Problems through Heuristic Techniques

optimization, bee algorithm, firefly optimization, and cuckoo search Offers sample problems and their optimization, using various heuristic;

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Optimizing Engineering Problems through Heuristic Techniques

ant colony optimization, bee algorithm, firefly optimization, and cuckoo search Offers sample problems and their optimization, using;

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Competitive Programming in Python

of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to;

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Nature-Inspired Computation and Swarm Intelligence

algorithms and their fundamentals, including: particle swarm optimization, bat algorithm, cuckoo search, firefly algorithm, flower pollination;

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Swarm Intelligence and Bio-Inspired Computation

ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied;

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Sherman Firefly

examines the controversy that dogged the Firefly and the psychological boost the tank provided to Allied forces. Exploring its successes and;

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Optimization on Solution Sets of Common Fixed Point Problems

This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the;

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Optimization on Solution Sets of Common Fixed Point Problems

This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the;

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Evolutionary Computation with Biogeography-based Optimization

approaches to tackle them and to study the theoretical reasoning behind their performance. This book explains the mathematical model of BBO algorithm;

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The Concept of Definiteness and Its Application to Automated Reference Resolution

algorithm for nominal reference resolution that uses the definiteness value of each noun phrase to guide the search for its referent. The book;

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Wavelet Analysis

wavelets, and finally introduces the design of integer wavelets via lifting schemes and its application to integer transform algorithm. In the;

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