LGMS-FOA: an improved fruit fly optimization algorithm for solving optimization problems
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Publication:460134
DOI10.1155/2013/108768zbMath1296.90149OpenAlexW2072507323WikidataQ59022607 ScholiaQ59022607MaRDI QIDQ460134
Hongjiang Dong, Dan Shan, Guohua Cao
Publication date: 13 October 2014
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2013/108768
Related Items (7)
On a novel multi-swarm fruit fly optimization algorithm and its application ⋮ Optimization of order-picking problems by intelligent optimization algorithm ⋮ A hybrid intelligent algorithm for optimal birandom portfolio selection problems ⋮ An inverse power generation mechanism based fruit fly algorithm for function optimization ⋮ Stochastic fractal based multiobjective fruit fly optimization ⋮ DSLC-FOA: improved fruit fly optimization algorithm for application to structural engineering design optimization problems ⋮ LGMS-FOA
Uses Software
Cites Work
- Optimization by Simulated Annealing
- Modified particle swarm optimization algorithm with simulated annealing behavior and its numerical verification
- Solving unconstrained global optimization problems via hybrid swarm intelligence approaches
- A new genetic algorithm for solving nonconvex nonlinear programming problems
- Improved particle swarm optimization combined with chaos
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