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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 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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Pollination and Floral Ecology

up-to-date resource of its kind to appear in decades. This beautifully illustrated book describes how flowers use colors, shapes, and scents;

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Recent Advances in Swarm Intelligence and Evolutionary Computation

and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout;

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Applications of Firefly Algorithm and its Variants

in permutation flow shop scheduling, multi-objective load dispatch problems, image compression, etc., using FA and its variants. It also covers the use;

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Computational Intelligence Optimization and Inverse Problems with Applications

. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies;

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Swarm Intelligence

, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to;

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Swarm Intelligence

, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction 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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Systematics Association Special Volume Series

What are the evolutionary mechanisms and ecological implications behind a pollinator choosing its favourite flower? Sixty-five million;

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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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Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and others). In particular, the;

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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 Optimization Algorithms

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

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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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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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Introduction to Parallel Algorithms

Written by an authority in the field, this book provides an introduction to the design and analysis of parallel algorithms. The emphasis;

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Travelling Salesman Problem(tsp)Optimization Through Genetic Algorithm

and researchers. Since TSP finds its applications in real world problems viz., VLSI design, Art works, World tours, etc., finding an optimal;

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Nature-Inspired Computation in Data Mining and Machine Learning

machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case;

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Nature-Inspired Computation in Data Mining and Machine Learning

machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case;

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Algorithm Engineering for Integral and Dynamic Problems

of regular array synthesis and shows how to extend its use into classes of algorithms traditionally viewed to be beyond its domain of application;

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Adaptive Filtering

find the eigenvalues and eigenvectors of a matrix and the properties of the error surfaces Explores the Wiener filter and its practical uses;

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Adaptive Filtering

eigenvalues and eigenvectors of a matrix and the properties of the error surfaces Explores the Wiener filter and its practical uses, details the;

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