In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method. Getting optimal network coverage
Book chapterNo access Appendix B-Matlab Programs Pages 247-263 Purchase View chapter About the book Description Nature-Inspired Optimization Algorithmsprovides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, the...
This book teaches basic Artificial Intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. These are not just foundational algorithms for the rest of the series, but are very useful in their own right. The ...
Nature-Inspired Metaheuristic Algorithms 决策变量覆盖的空间称之为决策空间或搜索空间。 目标函数值覆盖的空间称为解决空间(solution space)或响应空间. 优化算法的分类可以以多种方式进行。一种简单的方法是查看算法的本质,并将算法分为两类:确定性算法和随机算法。确定性算法遵循严格的程序,其设计变量和函数的路径和...
Whereas in the context of nature-inspired algorithms, various fidelity adaptation schemes were investigated in83; however, using mostly analytical objective functions. In this work, we investigate potential benefits of employing variable-resolution EM models for global optimization of antennas using nature...
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and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current res...
researchers are engaging Nature-Inspired Optimization Algorithms (NIOA) as an alternate methodology that can be widely employed for resolving problems related to MLT. This paper delivers an acquainted review related to novel NIOA shaped lately in last three years (2019–2021) highlighting and explorin...
Due to the high complexity of real-world optimization problems, often it is not easy to solve them using traditional or deterministic optimization methods. During the last few decades, more than 150 novel nature-inspired algorithms and variants have been proposed in the current literature. Inspired...
The data set contains a comprehensive collection of all Nature-Inspired Algorithms that have been published to-date. This collection is a result of two corresponding surveys, where all nature-inspired algorithms were gathered and preliminary data have been acquired. This data set will be described ...