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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…
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…
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…
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…
Socio-technical systems integration and design: a multi-objective optimisation method based on integrative preference maximisation
Harold van Heukelum, Ruud Binnekamp, Rogier Wolfert
Current systems design optimisation methodologies are one-sided, as these ignore the socio-technical integration between stakeholder preferences ('what a human wants') and the capa…