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首页> 外文期刊>Computers & operations research >Ecogeography-based optimization: Enhancing biogeography-based optimization with ecogeographic barriers and differentiations
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Ecogeography-based optimization: Enhancing biogeography-based optimization with ecogeographic barriers and differentiations

机译:基于生态地理的优化:通过生态地理的障碍和差异来增强基于生物地理的优化

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摘要

Biogeography-based optimization (BBO) is a bio-inspired metaheuristic based on the mathematics of island biogeography. The paper proposes a new variation of BBO, named ecogeography-based optimization (EBO), which regards the population of islands (solutions) as an ecological system with a local topology. Two novel migration operators are designed to perform effective exploration and exploitation in the solution space, mimicking the species dispersal under ecogeographic barriers and differentiations. Experimental results show that the EBO outperforms the basic BBO and several other popular evolutionary algorithms (EAs) on a set of well-known benchmark problems. We also present a real-world application of the proposed EBO to an emergency airlift problem in the 2013 Ya'an-Lushan Earthquake, China.
机译:基于生物地理学的优化(BBO)是一种基于岛屿生物地理学的数学启发式元启发式算法。本文提出了一种BBO的新变种,称为基于生态地理的优化(EBO),该变种将岛屿人口(解决方案)视为具有局部拓扑的生态系统。设计了两个新颖的迁移算子,以在解决方案空间中进行有效的探索和开发,以模仿物种在生态地理障碍和分化下的扩散。实验结果表明,在一系列众所周知的基准问题上,EBO优于基本BBO和其他几种流行的进化算法(EA)。我们还介绍了拟议的EBO在2013年中国雅安-庐山地震中的紧急空运问题上的实际应用。

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