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...
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...
Hence, many metaheuristic algorithms have been developed over the last years. Many of these algorithms are inspired by various phenomena of nature. In this paper, a new population based algorithm, the Lion Optimization Algorithm (LOA), is introduced. Special lifestyle of lions and their ...
当当中华商务进口图书旗舰店在线销售正版《海外直订Nature-Inspired Metaheuristic Algorithms for Engineering Optimization 自然启发的元启发式算法在工程优化中的应用》。最新《海外直订Nature-Inspired Metaheuristic Algorithms for Engineering Optimization 自然启
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...
The application of several swarm intelligence and evolutionary metaheuristic algorithms in data clustering problems has in the past few decades gained wide
To solve this problem, we propose several nature inspired metaheuristic algorithms: Simulated Annealing (SA), Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Bat Algorithm (BA), Cuckoo Search (CS), and Firefly Algorithm (FA). We perform benchmark ...
A survey on nature inspired metaheuristic algorithms for partitional clustering Panda, "A survey on nature inspired metaheuristic algorithms for partitional clustering," Swarm and Evolutionary computation, vol. 16, pp. 1- 18, 2014.S... SJ Nanda,G Panda - 《Swarm & Evolutionary Computation》 被引...
Mathematical analysis lags far behind, apart from a few, limited, studies on convergence analysis and stability, there is no theoretical framework for analyzing metaheuristic algorithms. I believe mathematical and statistical methods using Markov chains and dynamical systems can be very useful in the ...
Yang XS (2008) Nature-inspired metaheuristic algorithms. Luniver Press, Bristol Google Scholar Talbi EG (2009) Metaheuristics: from design to implementation. Wiley, New York Book Google Scholar Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671...