This paper presents CESAM, a macroeconometric model of the Dutch economy based on annual data. CESAM can be characterized as a Keynesian expenditure model including a neoclassical production model and a post-KeynesianJinancial model. This characterization holds for most of the Dutch macroeconometric models including, for instance, FREIA-KOMPAS of the Dutch Central Planning Bureau. There are, ho...

The conference had two main objectives: To present papers with up-to-date knowledge which will enable participants to improve their ability to better understand, forecast, assess and eventually control technological change in the future; To provide colleagues and doctoral students with a clear vision of research priorities within the area of MOT and subsequently to set up a list of topics in or...

Context Over the past decades malware authorship grew to become a profession. Nowadays, there exists a plethora of malware instances that span various targets, structures, motivations, and objectives [1]. Despite the different objectives they pursue, the majority of malware authors strive to prolong the period of time their instances remain operational within the infected system. In this contex...

From the Departments of Radiology, University of Wisconsin Hospital and Clinics, Madison (J.C.); University of California, San Francisco (G.P.R.); University of Iowa Hospitals and Clinics, Iowa City (B.F.M.); University of Alabama, Birmingham (H.P.N.); Georgetown University Hospital, Washington D.C. (C.E.G.); UCLA Center for Health Sciences, Los Angeles, California (P.V.B.); Stanford University...

Objectives . A frequently used method for obtaining Pareto-optimal solutions is to minimize a selected quality index under restrictions of the other indices, whose values are thus preset. For scalar objective function, global minimum sought that contains restricted indices as penalty terms. However, landscape such function has steep-ascent areas, which significantly complicate search minimum. T...

Many-objective optimization problems (MaOPs) are challenging in scientific research. Research has tended to focus on algorithms rather than algorithm frameworks. In this paper, we introduce a projection-based evolutionary algorithm, MOEA/PII. Applying the idea of dimension reduction and decomposition, it divides objective space into projection plane free dimension(s). The balance between conver...

Multi-modal multi-objective optimization problems (MMMOPs) have multiple subsets within the Pareto-optimal Set, each independently mapping to same Pareto-Front. Prevalent evolutionary algorithms are not purely designed search for solution subsets, whereas, MMMOPs demonstrate degraded performance in objective space. This motivates design of better addressing MMMOPs. The present work identifies c...