An approach to identify solutions of interest from multi and many-objective optimization problems

Torres, Marina; Pelta, David A.; Lamata, María Teresa; Yager, Ronald R.

doi:10.1007/s00521-020-05140-x

Cited by 10 publications

(10 citation statements)

References 25 publications

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“…Step 2: Calculate the intervals of solutions are used to determine the intervals of solutions. The considered sets of weights are the extreme situations and can efficiently reduce the computational complex [36].…”

Section: Solutions Of Interest (Soi)mentioning

confidence: 99%

Optimization of Cutting Parameters for Improving Machining Quality Andproduction Rate in Drilling of CFRP Composites

Wang¹,

Jia²

2021

Preprint

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Carbon fiber reinforced polymer (CFRP) composites need to be machined by operations like trimming, reaming and drilling for the dimensional tolerance and final assembly. This paper presents a cutting parameters optimization method for drilling of CFRP composites to improve hole quality and production efficiency. Hole quality indicators including exit delamination and average surface roughness are expressed as functions of cutting parameters based on the regression analysis of experimental data. Multi-objective optimization of cutting parameters for decreasing exit delamination and surface roughness, increasing material removal rate is accomplished with non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ). Optimization results are large numbers of Pareto optimal solutions widely distributed in the objective space, the reliability of Pareto optimal solutions is checked with the global convergence and spacing distance. Moreover, posterior analysis is implemented to identify key solutions of better performance from the Pareto optimal solutions to facilitate the decision-making. Results show that the identified key solutions are capable of achieving satisfactory drilling performances with different preferences for exit delamination, surface roughness and material removal rate. This study provides a feasible way to determine the appropriate cutting parameters, with which demands for multiple responses could be satisfied simultaneously in practical machining operations.

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Section: Solutions Of Interest (Soi)mentioning

confidence: 99%

Optimization of Cutting Parameters for Improving Machining Quality Andproduction Rate in Drilling of CFRP Composites

Wang¹,

Jia²

2021

Preprint

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“…Constraint (29) establishes the relationship between the service starting times at a customer and its successor. Constraint (30) is the time window constraint. The maximum number of routes is controlled by Constraint (31) to guarantee that the number of trucks departing from the depot do not exceed the available fleet of trucks |K|.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…These alternatives are good with respect to the modelled objective, and expected to perform relatively well with respect to unconsidered objectives (the average freshness, the service level, and the tardiness). The alternative solutions provided by the GVNS will be then ranked using the possibility degree approach proposed in [30], allowing the DM to choose the best solution with respect to their preferences for each criteria. The proposed ranking approach consists of assigning an interval to each solution, where the intervals correspond to the potential scores depending on the DM preferences.…”

Section: The Solving Strategymentioning

confidence: 99%

“…The steps of the possibility degree approach are described in Appendix B. For further details, you can refer to [30].…”

Section: The Solving Strategymentioning

confidence: 99%

“…This appendix summarizes the main aspects of the approach proposed in [30], which departs from a decision matrix like x ij is the value of alternative A i under the criterion c j .…”

Section: Appendix B a Possibility Degree Based Approach To Rank Solutionsmentioning

confidence: 99%

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A Metaheuristic Based Approach for the Customer-Centric Perishable Food Distribution Problem

et al. 2021

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High transportation costs and poor quality of service are common vulnerabilities in various logistics networks, especially in food distribution. Here we propose a many-objective Customer-centric Perishable Food Distribution Problem that focuses on the cost, the quality of the product, and the service level improvement by considering not only time windows but also the customers’ target time and their priority. Recognizing the difficulty of solving such model, we propose a General Variable Neighborhood Search (GVNS) metaheuristic based approach that allows to efficiently solve a subproblem while allowing us to obtain a set of solutions. These solutions are evaluated over some non-optimized criteria and then ranked using an a posteriori approach that requires minimal information about decision maker preferences. The computational results show a) GVNS achieved same quality solutions as an exact solver (CPLEX) in the subproblem; b) GVNS can generate a wide number of candidate solutions, and c) the use of the a posteriori approach makes easy to generate different decision maker profiles which in turn allows to obtain different rankings of the solutions.

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Intervals and Possibility Degree Formulae for Usage Prioritization of Cartagena Coastal Military Batteries

Sánchez-Lozano¹,

Fernández–Martínez²,

Cabrera-Cuevas

et al. 2022

Information Processing and Management of Uncertainty in Knowledge-Based Systems

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An approach to identify solutions of interest from multi and many-objective optimization problems

Cited by 10 publications

References 25 publications

Optimization of Cutting Parameters for Improving Machining Quality Andproduction Rate in Drilling of CFRP Composites

Optimization of Cutting Parameters for Improving Machining Quality Andproduction Rate in Drilling of CFRP Composites

A Metaheuristic Based Approach for the Customer-Centric Perishable Food Distribution Problem

Intervals and Possibility Degree Formulae for Usage Prioritization of Cartagena Coastal Military Batteries

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