scholarly journals Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Shuiwang Zhang ◽  
Linping Fu ◽  
Rong Chen ◽  
Yu Mei
Keyword(s):  
Location Problem ◽  
Three Dimensional ◽  
Retrieval Time ◽  
Artificial Fish Swarm Algorithm ◽  
Efficient Storage ◽  
Artificial Fish Swarm ◽  
Output Efficiency ◽  
Location Assignment ◽  
Swarm Algorithm ◽  
The Mathematical Model

An efficient storage strategy for retail e-commerce warehousing is important for minimizing the order retrieval time to improve the warehouse-output efficiency. In this paper, we consider a model and algorithm to solve the cargo location problem in a retail e-commerce warehouse. The problem is abstracted into storing cargo on three-dimensional shelves, and the mathematical model is built considering three objectives: efficiency, stability, and classification. An artificial swarm algorithm is designed to solve the proposed models. Computational experiments performed on a warehouse show that the proposed approach is effective at solving the cargo location assignment problem and is significant for the operation and organization of a retail e-commerce warehouse.

Research on the Automatic and Optimized Pipe Routing Layout for Aero-Engines Based on Improved Artificial Fish Swarm Algorithm

2013 ◽  
Vol 437 ◽  
pp. 275-280 ◽  
Author(s):  
Yu Zhang ◽  
Xiao Lan Bai
Keyword(s):  
Rapid Development ◽  
Local Optimum ◽  
Artificial Fish Swarm Algorithm ◽  
Pipe Routing ◽  
Aero Engine ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm ◽  
Aero Engines ◽  
The Mathematical Model

With the rapid development of aerospace industries, how to realize the automatic and optimized pipe-routing layout for the aero-engine has become a hot issue to be urgently solved. For the issue, a novel automatic and optimized pipe-routing layout method based on the improved artificial fish swarm algorithm was put forward in this paper. First, the mathematical model of the pipe-routing layout problem was established. Then, in view of the deficiencies of the artificial fish swarm algorithm,chaos mutation was used to carry out easy and rapid searching as well as robust escape from the local optimum,and gradient setting was used to raise the convergence speed and the solving accuracy.Further, the improved artificial fish swarm algorithm was applied to the pipe-routing layout for the aero-engine. At the end, the effectiveness and feasibility of the proposed method was proved by a case study.

PERFORMANCE EVALUATION OF CULTURAL ARTIFICIAL BEE COLONY AND CULTURAL ARTIFICIAL FISH SWARM ALGORITHM

2019 ◽  
Vol 6 (4) ◽  
pp. 43
Author(s):  
HADIR ADEBIYI BUSAYO ◽  
TIJANI SALAWUDEEN AHMED ◽  
FOLASHADE O. ADEBIYI RISIKAT ◽  
◽  
◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Artificial Bee Colony ◽  
Artificial Fish Swarm Algorithm ◽  
Bee Colony ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm

scholarly journals A New Approach to Weapon-Target Assignment in Cooperative Air Combat

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Yi-zhe Chang ◽  
Zhan-wu Li ◽  
Ying-xin Kou ◽  
Qing-peng Sun ◽  
Hai-yan Yang ◽  
...  
Keyword(s):  
Hybrid Algorithm ◽  
Harmony Search ◽  
New Approach ◽  
Artificial Fish Swarm Algorithm ◽  
Target Assignment ◽  
Air Combat ◽  
Improved Harmony Search ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm

A new approach to solving weapon-target assignment (WTA) problem is proposed in this paper. Firstly, relative superiority that lays the foundation for assignment is calculated based on the combat power energy of the fighters. Based on the relative superiority, WTA problem is formulated. Afterwards, a hybrid algorithm consisting of improved artificial fish swarm algorithm (AFSA) and improved harmony search (HS) is introduced and furthermore applied to solve the assignment formulation. Finally, the proposed approach is validated by eight representative benchmark functions and two concrete cooperative air combat examples. The results show that the approach proposed in this paper achieves good performances in solving WTA problem in cooperative air combat.

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