.png){kind=icon}
返回
Multi-objective bacterial foraging optimization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neucom.2012.01.044.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper describes a novel Bacterial Foraging Optimization (BFO) approach to multi-objective optimization, called Multi-objective Bacterial Foraging Optimization (MBFO). The objectives in the Multi-objective Bacterial Foraging Optimization are maintained by a fitness survive mechanism. Bacteria with the smaller health values have the better chance to survive. Meanwhile, the main goal of multi-objective optimization problems is to obtain a superior non-dominated front which is closed to the true Pareto front. With identification of such features, the idea of integration between health sorting approach and pareto dominance mechanism are developed to search for Pareto-optimal set of problems. Moreover, strategy keeping a certain unfeasible border solutions based on a given probability is considered to improve the diversity of individuals. In addition, two different performance metrics: Diversity and Generational Distance are introduced as well to evaluate multi-objective optimization problems. Compared to two other multi-objective optimization evolutionary algorithms MOPSO and NSGA-II, simulation results show that in most cases, the proposed MBFO is able to find a much better spread of solutions and convergence to the true Pareto-optimal front faster. It suggests that MBFO is very promising in dealing with ordinary multi-objective optimization problems. (C) 2012 Elsevier B.V. All rights reserved.
Keyword:
Multi-objective optimization
Bacterial Foraging Optimization
Health sorting approach
Pareto dominance mechanism
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
A novel adaptive sequential niche technique for multimodal function optimization.png)
NEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏Multiobjective evolutionary algorithms: A comparative case study and the Strength Pareto approach多目标进化算法: 比较案例研究和强度帕累托方法
PREAI
分享收藏Solid-State On-Substrate Synthesis of Size-Controlled CuPt@Cu2O Core-Shell Nanocubes and Applications for Electrochemical Sensing and Electrocatalytic Methanol Oxidation Reaction基片上可控尺寸CuPt@Cu₂O核壳纳米立方体的固相合成及其在电化学传感和电催化甲醇氧化反应中的应用
OAAI
OAAI分享收藏An approach to surface electron density-sensing property correlation in non-stoichiometric boron carbide一种非化学计量比碳化硼表面电子密度-传感性质相关性的研究方法AIP AdvancesOAAI
AIP AdvancesIF0
OAAI分享收藏
查看更多内容