Boolean Binary Cat Swarm Optimization Algorithm

被引：0
|
作者：
Siqueira, Hugo [1 ]
Figueiredo, Elliackin [2 ]
Macedo, Mariana [2 ]
Santana, Clodomir J., Jr. [2 ]
Bastos-Filho, Carmelo J. A. [2 ]
Gokhale, Anu A. [3 ]
机构：
[1] Univ Tecnol Fed Parana, Ponta Grossa, PR, Brazil
[2] Univ Pernambuco, Recife, PE, Brazil
[3] Illinois State Univ, Normal, IL 61761 USA
来源：
2018 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI) | 2018年
关键词：
Binary Boolean Cat Swarm Optimization; Binary Optimization; 0/1 knapsack problem;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The behavior of domestic cats inspired the Cat Swarm Optimization (CSO) algorithm. The algorithm presents two modes of operation: seeking mode, representing the resting state, and tracing mode, in which the cats are hunting preys. In this paper, we introduce a boolean based operator, resulting in the Boolean Binary Cat Swarm Optimization algorithm (BBCSO). In our proposal, we change the selection of the agents to different modes and present a new way to determine the position and the velocity of the agents, using Boolean functions. The computational results demonstrate the viability of the proposal since it overcomes the original versions of the binary genetic algorithm and the binary particle swarm optimization in the 0/1 knapsack problem, especially in high dimensional instances.
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收藏
页数：6
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