The effects of the frequency and method of gentling on the behavior of cats in shelters

2020 ◽  
Vol 39 ◽  
pp. 47-56
Author(s):  
Sita Liu ◽  
Mandy Paterson ◽  
Stephanie Camarri ◽  
Lorien Murray ◽  
Clive J.C. Phillips
Keyword(s):  
Behavior Of Cats

Normal Behavior of Cats

The Cat ◽  
2012 ◽  
pp. 191-197
Author(s):  
Jacqueline Mary Ley ◽  
Kersti Seksel
Keyword(s):  
Normal Behavior ◽  
Behavior Of Cats

scholarly journals Solving the Manufacturing Cell Design Problem through Binary Cat Swarm Optimization with Dynamic Mixture Ratios

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Ricardo Soto ◽  
Broderick Crawford ◽  
Angelo Aste Toledo ◽  
Hanns de la Fuente-Mella ◽  
Carlos Castro ◽  
...  
Keyword(s):  
Design Problem ◽  
Search Algorithm ◽  
Production Plant ◽  
Cell Design ◽  
Swarm Optimization ◽  
Mixture Ratio ◽  
Manufacturing Cell ◽  
Cat Swarm Optimization ◽  
Autonomous Search ◽  
Behavior Of Cats

In this research, we present a Binary Cat Swarm Optimization for solving the Manufacturing Cell Design Problem (MCDP). This problem divides an industrial production plant into a certain number of cells. Each cell contains machines with similar types of processes or part families. The goal is to identify a cell organization in such a way that the transportation of the different parts between cells is minimized. The organization of these cells is performed through Cat Swarm Optimization, which is a recent swarm metaheuristic technique based on the behavior of cats. In that technique, cats have two modes of behavior: seeking mode and tracing mode, selected from a mixture ratio. For experimental purposes, a version of the Autonomous Search algorithm was developed with dynamic mixture ratios. The experimental results for both normal Binary Cat Swarm Optimization (BCSO) and Autonomous Search BCSO reach all global optimums, both for a set of 90 instances with known optima, and for a set of 35 new instances with 13 known optima.

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