Ship Pipe Layout Optimization Based on Improved Particle Swarm Optimization

TL;DR: This paper effectively addresses the lack of research in this area by introducing branch pipe collaboration methods and energy zone guidance methods.

TL;DR: A hybrid algorithm based on the proposed square strategy and NSGA-II for ship pipe route design efficiently optimizes pipe routing in complex engineering projects.

TL;DR: This paper proposes a multi-objective ship pipe route design framework using NSGA-III and multi-population parallel evolution, addressing complexity and constraint issues in pipe routing optimization, and demonstrates its feasibility and advancement through comparative experiments.

TL;DR: A genetic algorithm (GA) approach to support interactive planning of a piping route path in plant layout design is presented and some simulation results using the prototype system are presented to show the validity of this approach.

TL;DR: This article proposes automatic approaches for solving ship pipe route design with A* algorithm and genetic algorithm and the feasibility and effectiveness of the proposed algorithms are demonstrated by the experiments on the designed and actual cases.

TL;DR: This study aimed to significantly improve path-finding speed by applying the Jump Point Search (JPS) algorithm, which requires lower search cost than the abovementioned algorithms, for pipe routing.