Ehsan Valian
University of Sistan and Baluchestan
8 Papers
17 Citations
Ehsan Valian is an academic researcher from University of Sistan and Baluchestan. The author has contributed to research in topics: Cuckoo search & Metaheuristic. The author has an hindex of 7, co-authored 8 publications. Previous affiliations of Ehsan Valian include Taipei Chengshih University of Science and Technology.
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Papers
A cuckoo search algorithm by Lévy flights for solving reliability redundancy allocation problems
Ehsan Valian,Elham Valian +1 more
TL;DR: A new metaheuristic optimization algorithm, called cuckoo search (CS), was recently developed by Yang and Deb (2009, 2010) and the performance of the algorithm is tested on five well- known reliability redundancy allocation problems and is compared with several well-known methods.
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Feedforward neural network training using intelligent global harmony search
TL;DR: An improved harmony search algorithm is presented using the concept of swarm intelligence, employed for training feedforward neural networks for three benchmark classification problems and the performance of the algorithm is compared with that of three methods.
13
Nondestructive Position Detection of a Metallic Target within Soil Substrate Using Electromagnetic Tomography
TL;DR: In this article, an artificial neural network is trained to mimic the electromagnetic tomography system and a hybrid optimization algorithm, which is a combination of intelligent global harmony search and Levenberg-Marquardt algorithms, is proposed to optimize the artificial neural networks weights and biases.
4
Solving Reliability Optimization Problems by Cuckoo Search
Ehsan Valian
- 01 Jan 2014
TL;DR: This chapter uses cuckoo search algorithm, a developed by Yang and Deb, to solve the reliability optimization problem and demonstrates that the optimal solutions obtained by CS, are better than the best solution obtained by other methods.
Improved cuckoo search for reliability optimization problems
TL;DR: In this paper, an improved cuckoo search algorithm is presented, enhancing the accuracy and convergence rate of the cuckoff search algorithm, and the performance of the proposed algorithm is tested on some complex engineering optimization problems.