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Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information.

, , , , and . Appl. Soft Comput., (2022)

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Feasibility-ratio based sequencing for computationally efficient constrained optimization., , and . Swarm Evol. Comput., (2021)Investigating the use of sequencing and infeasibility driven strategies for constrained optimization., , and . CEC, page 1642-1649. IEEE, (2019)A Steady-State Algorithm for Solving Expensive Multiobjective Optimization Problems With Nonparallelizable Evaluations., , and . IEEE Trans. Evol. Comput., 27 (5): 1544-1558 (October 2023)Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space., , , and . GECCO Companion, page 201-202. ACM, (2020)Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization., , and . IEEE Trans. Evol. Comput., 25 (6): 1103-1117 (2021)Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information., , , , and . Appl. Soft Comput., (2022)A Generalized Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization., , and . CEC, page 1-8. IEEE, (2023)Vertical-Axis Wind Turbine Design Using Surrogate-assisted Optimization with Physical Experiments In-loop., , , and . GECCO, page 1391-1399. ACM, (2023)Wind-turbine design optimization using a many-objective evolutionary algorithm., , , and . GECCO Companion, page 267-268. ACM, (2020)