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math.OC2026
Solving Highly Constrained Multi-Objective Decision Problems with the IMAP-IGS Preference-Guided Metaheuristic Framework
L. J. K. Timp, N. Yorke-Smith, A. R. M Wolfert
Highly constrained multi-objective design and decision problems are difficult to solve because of strict feasibility requirements and conflicting stakeholder preferences. Evolution…
math.OC2026
Preference-Based Optimisation for Integrated Design and Group Decision-Making
A. R. M. Wolfert
Conventional multi-objective optimisation approaches (e.g., MOO-CP or MIP) fail in group decision-making by aggregating heterogeneous objectives without a valid preference foundati…
math.OC2026
Unique Preference Aggregation in Design and Decision Making
A. R. M., Wolfert
Preference aggregation is a core operation in multi-objective design optimisation and group decision-making, as it determines the best-fit-for-common-purpose alternative within com…