Heuristic algorithm for RPAMP with central rectangle and its application to solve oil–gas treatment facility layout problem

Wu, Lei; Liu, Qi; Wang, Fengde; Xiao, Wensheng; Yang, Yue

doi:10.1016/j.engappai.2018.04.008

Cited by 4 publications

(1 citation statement)

References 35 publications

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“…Layout problems are widely used in the real world, such as stacking of items in warehouse, newspaper text layout, container packing, and so on [15][16][17][18][19]. This kind of problem can be abstracted into a layout problem.…”

Section: Introductionmentioning

confidence: 99%

Application of a Parallel Adaptive Cuckoo Search Algorithm in the Rectangle Layout Problem

Zheng¹,

Si²,

Xiao³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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The meta-heuristic algorithm is a global probabilistic search algorithm for the iterative solution. It has good performance in global optimization fields such as maximization. In this paper, a new adaptive parameter strategy and a parallel communication strategy are proposed to further improve the Cuckoo Search (CS) algorithm. This strategy greatly improves the convergence speed and accuracy of the algorithm and strengthens the algorithm's ability to jump out of the local optimal. This paper compares the optimization performance of Parallel Adaptive Cuckoo Search (PACS) with CS, Parallel Cuckoo Search (PCS), Particle Swarm Optimization (PSO), Sine Cosine Algorithm (SCA), Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), Differential Evolution (DE) and Artificial Bee Colony (ABC) algorithms by using the CEC-2013 test function. The results show that PACS algorithm outperforms other algorithms in 20 of 28 test functions. Due to the superior performance of PACS algorithm, this paper uses it to solve the problem of the rectangular layout. Experimental results show that this scheme has a significant effect, and the material utilization rate is improved from 89.5% to 97.8% after optimization.

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