2023
DOI: 10.3390/computers12110225
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Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms

Jakub Kudela

Abstract: This paper presents a new chance-constrained optimization (CCO) formulation for the bulk carrier conceptual design. The CCO problem is modeled through the scenario design approach. We conducted extensive numerical experiments comparing the convergence of both canonical and state-of-the-art metaheuristic algorithms on the original and CCO formulations and showed that the CCO formulation is substantially more difficult to solve. The two best-performing methods were both found to be differential evolution-based a… Show more

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Cited by 3 publications
(1 citation statement)
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“…There should be more focus on the implementation of modern evolutionary algorithms, such as jSO [142], AGSK [139], LSHADE [137], and CMAES variants [136]. These methods were recently shown to have excellent performance on a range of various complex [43,[143][144][145] and applied problems [146][147][148]. In addition, the development of a common framework/platform with a range of standardized industrial robotics path planning problems for benchmarking different methods (from the various possible approaches) would be immensely valuable.…”
Section: Research Gaps and Directionsmentioning
confidence: 99%
“…There should be more focus on the implementation of modern evolutionary algorithms, such as jSO [142], AGSK [139], LSHADE [137], and CMAES variants [136]. These methods were recently shown to have excellent performance on a range of various complex [43,[143][144][145] and applied problems [146][147][148]. In addition, the development of a common framework/platform with a range of standardized industrial robotics path planning problems for benchmarking different methods (from the various possible approaches) would be immensely valuable.…”
Section: Research Gaps and Directionsmentioning
confidence: 99%