collaborators

5 papers

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…

cs.CY2024

Confronting Conflicts to Yes: Untangling Wicked Problems with Open Design Systems

L. G. Teuber, A. R. M. Wolfert

Current project development practices often fail to engage stakeholders early and effectively. Decision support is often non-inclusive, single-sided, and lacking in transparency, w…

math.OC2024

Advancing Strategic Planning and Dynamic Control of Complex Projects

L. G. Teuber, H. J. van Heukelum, A. R. M. Wolfert

Strategic project planning and dynamic control are essential to ensure that complex projects are both prepared and executed best-fit-for-common-purpose, guided by three interrelate…