The incorporation of decision maker preferences is often neglected in the Evolutionary MultiObjective Optimisation (EMO) literature. The majority of the research in the field and the development of EMO algorithms is primarily focussed on converging to a Pareto optimal approximation close to or along the true Pareto front of synthetic test problems. However, when EMO is applied to real-world opt...

Because empathic patient interactions by dentists are associated with improved patient outcomes, self-reported declines in empathy during dental student training are a concern. This study examined differences in empathy in 178 dental students at the University of Toronto and the University of Western Ontario from years one through four using an anonymous self-report web-based survey in a cross-...

Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in many practical problem solving tasks including optimal control, process optimization, game-playing strategy development, transportation problems, and others. In the context of a bilevel single objective problem, there exists a nu...

This paper shows how the performance of evolutionary multiobjective optimization (EMO) algorithms can be improved by hybridization with local search. The main positive effect of the hybridization is the improvement in the convergence speed to the Pareto front. On the other hand, the main negative effect is the increase in the computation time per generation. Thus, the number of generations is d...

In the field of single-objective optimization, hybrid variants of gradient based methods and evolutionary algorithms have been shown to performance better than the pure evolutionary method. This same idea has been used with Evolutionary Multiobjective Optimization (EMO), obtaining also very promising results. In most of the cases, gradient information is used as part of the mutation operator, i...

Modern emot ion th eor ies empha sise the adap t ive va lue of emot ions. Emo tions are by no means always help fu l, however. They often must be regu lated . The study of emot ion regu lation has its o r igins in the psychoana lytic and stress and cop ing trad it ions. Recen t ly, increa sed interest in emot ion regu lation has led to crucia l boundary ambigu it ies that n ow threaten progress...

Sensory processing abnormalities are common in autism spectrum disorders (ASD), and now form part of the Diagnostic and Statistical Manual 5th Edition (DSM-5) diagnostic criteria, but it is unclear whether they characterize the 'broader phenotype' of the disorder. We recruited adults (n = 772) with and without an ASD and administered the Autism Quotient (AQ) along with the Adult/Adolescent Sens...

In this paper, a real-world test problem is presented and made available for use by the EMO community. The problem deals with the optimization of polymer extrusion, in terms of setting the operating conditions and/or the screw geometry. The binary code of a computer program that predicts the thermomechanical experience of a polymer inside the machine, as a function of geometry, polymer properti...

The Pareto Differential Evolution (PDE) algorithm was introduced last year and showed competitive results. The behavior of PDE, as in many other evolutionary multiobjective optimization (EMO) methods, varies according to the crossover and mutation rates. In this paper, we present a new version of PDE with self-adaptive crossover and mutation. We call the new version Self–adaptive Pareto Differe...