Nature-Inspired Computing and Optimization

✍ Scribed by Nakamatsu, Kazumi;Patnaik, Srikanta;Yang, Xin-She

Publisher: Springer
Year: 2017
Tongue: English
Leaves: 506
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

From the content: The Nature of Nature: Why Nature Inspired Algorithms Work.- Improved Bat Algorithm in Noise-Free and Noisy Environments.- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le

📜 SIMILAR VOLUMES

Nature-Inspired Computing and Optimizati

📁 Nature-Inspired Computing and Optimization

✍ Nakamatsu, Kazumi;Patnaik, Srikanta;Yang, Xin-She 📂 Library 📅 2017 🏛 Springer International Publishing 🌐 English

Nature-Inspired Computing and Optimizati

📁 Nature-Inspired Computing and Optimization: Theory and Applications

✍ Srikanta Patnaik, Xin-She Yang, Kazumi Nakamatsu (eds.) 📂 Library 📅 2017 🏛 Springer International Publishing 🌐 English

<p><p>The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Appl

Nature-Inspired Optimization Algorithms:

📁 Nature-Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications

✍ Aditya Khamparia (editor), Ashish Khanna (editor), Nhu Gia Nguyen (editor), Bao 📂 Library 📅 2021 🏛 Walter de Gruyter 🌐 English

Applied Optimization and Swarm Intellige

📁 Applied Optimization and Swarm Intelligence (Springer Tracts in Nature-Inspired Computing)

✍ Eneko Osaba (editor), Xin-She Yang (editor) 📂 Library 📅 2021 🏛 Springer 🌐 English

<div>This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature hav

Nature-Inspired Metaheuristic Algorithms

📁 Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications (Springer Tracts in Nature-Inspired Computing)

✍ Serdar Carbas (editor), Abdurrahim Toktas (editor), Deniz Ustun (editor) 📂 Library 📅 2021 🏛 Springer 🌐 English

<span>This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-i

Metaheuristic Optimization: Nature-Inspi

📁 Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications

✍ Modestus O. Okwu, Lagouge K. Tartibu 📂 Library 📅 2021 🏛 Springer International Publishing;Springer 🌐 English

<p>This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This boo