This paper provides an in-depth review of some recent nature-inspired algorithms with the emphasis on their search mechanisms and mathematical foundations. Some challenging issues are identified and five open problems are highlighted, concerning the analysis of algorithmic convergence and stability, ...
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...
This research provides a concise analysis of the most researched combination of various optimization techniques and machine learning techniques for cardiac disease prediction currently available in the literature along with the variations of several nature-inspired algorithms. These algorithms are also ...
Chapter ArticleGoogle Scholar Article Zhang LM, Dahlmann C, Zhang Y (2009) Human-inspired algorithms for continuous function optimization. In: IEEE international conference on intelligent computing and intelligent systems, 2009, ICIS 2009, vol 1. IEEE, pp 318–321 ArticleGoogle Scholar Hernández H,...
Chapter 1-Introduction to Algorithms Pages 1-21 Purchase View chapter Select Chapter 2 - Analysis of Algorithms Book chapterAbstract only Chapter 2-Analysis of Algorithms Pages 23-44 Purchase View chapter Select Chapter 3 - Random Walks and Optimization ...
Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic...
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...
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Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency...
You need:Clever Algorithms: Nature-Inspired Programming Recipes. Clever Algorithms is a handbook of recipes for computational problem solving. Algorithms are drawn from sub-fields of Artificial Intelligence such as Computational Intelligence, Biologically Inspired Computation, and Metaheuristics. ...