2D multi-objective placement algorithm for free-form components

TL;DR

This paper introduces a hybrid 2D multi-objective placement algorithm for free-form components combining genetic and separation algorithms, with potential extensions to 3D problems.

Contribution

It presents a novel hybrid method that integrates genetic algorithms with a separation technique for efficient and legal placement of free-form components.

Findings

Effective exploration of search space by genetic algorithm

Successful legalization of solutions through separation algorithm

Applicability demonstrated on a test case

Abstract

This article presents a generic method to solve 2D multi-objective placement problem for free-form components. The proposed method is a relaxed placement technique combined with an hybrid algorithm based on a genetic algorithm and a separation algorithm. The genetic algorithm is used as a global optimizer and is in charge of efficiently exploring the search space. The separation algorithm is used to legalize solutions proposed by the global optimizer, so that placement constraints are satisfied. A test case illustrates the application of the proposed method. Extensions for solving the 3D problem are given at the end of the article.