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Personal and Ubiquitous Computing – An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems

Personal and Ubiquitous Computing - An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems

From the journal, Personal and Ubiquitous Computing, comes a paper on An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems. This paper is free to read (link) through September 2019.

Abstract

Bin packing problem (BPP) is a classical combinatorial optimization problem widely used in a wide range of fields. The main aim of this paper is to propose a new variant of whale optimization algorithm named improved Lévy-based whale optimization algorithm (ILWOA). The proposed ILWOA adapts it to search the combinatorial search space of BPP problems. The performance of ILWOA is evaluated through two experiments on benchmarks with varying difficulty and BPP case studies. The experimental results confirm the prosperity of the proposed algorithm in proficiency to find the optimal solution and convergence speed. Further, the obtained results are discussed and analyzed according to the problem size.

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