Authors: Mijovic, Ana
Radanovic, Luka
Urošević, Dragan 
Davidović, Tatjana 
Jovanovic, Raka
Affiliations: Computer Science 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Bee Colony Optimization for Maximum Diversity Problem with Capacity and Budget Constraints
Journal: 4th International Conference on Smart Grid and Renewable Energy, SGRE 2024 - Proceedings
Issue Date: 1-Jan-2024
Rank: M33
ISBN: 9798350306262
DOI: 10.1109/SGRE59715.2024.10428871
Abstract: 
The paper explores the problem of selecting a diverse set of points from a given set, with applications in various fields, including facility positioning and renewable energy infrastructure. Specifically, the Maximum Diversity Problem with Capacity and Budget Constraints (MDP-CBC) is addressed, which balances diversity, budget, and capacity limitations in resource allocation. The paper presents an in-depth analysis of the problem, introduces Bee Colony optimization (BCO) as a novel approach, and conducts computational experiments to assess its performance. Results are compared with local search-based methods, demonstrating the potential of BCO in solving MDP-CBC. The paper provides insights into solution representations, neighborhoods, and the implementation of the BCO algorithm. Experimental results on small and medium-sized instances highlight the advantages and disadvantages of the BCO in terms of objective function values. This research contributes to optimizing resource allocation in areas such as renewable energy and facility management.
Keywords: Bee Colony optimization | Metaheuristic Approach | Multiple Neighborhoods | Resource Allocation
Publisher: IEEE

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