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The Improvement of Fruit Fly Optimization Algorithm

Fuqiang Xu, +1 more
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This article is published in International Conference on Computer and Information Application.The article was published on 2012-01-01 and is currently open access. It has received 4 citations till now. The article focuses on the topics: Extremal optimization.

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Journal ArticleDOI

An improved evolution fruit fly optimization algorithm and its application

TL;DR: Experimental results suggest that EFOA performs well both in global search ability and in robustness, and it can improve convergence speed.
Journal ArticleDOI

Fruit Fly Optimization Algorithm for Travelling Salesperson Problem

TL;DR: The paper proposes different variants of Vision function and Smell function of Fruit-Fly and evaluated them for solutions of Travelling Salesperson problem.
Journal ArticleDOI

Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array

TL;DR: The numerical results demonstrate that the MFOA is effective in solving all test function and electromagnetic problems and the advantages of the proposed algorithm are ease of implementation, large search range, less processing time, and reduced memory requirement.
Proceedings ArticleDOI

Linear antenna synthesis with maximum directivity using improved fruit fly optimization algorithm

TL;DR: The IMFOA method is efficient and accurate for electromagnetic problems of the linear antenna array in free space, and the optimization goal in example is accurately provided and easily achieved.
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