Heuristics and metaheuristics are inevitable ingredients of most of the general purpose ILP solvers today, because of their contribution to the significant boost of the performance of exact methods. In the field of bi/multi-objective optimization, to the best of our knowledge, it is still not very common to integrate ILP heuristics into exact solution frameworks. This paper aims to bring a stro...

In this paper, we discuss physically based approaches to the modeling of deformable soft tissue for the long-term prediction of patient’s postoperative appearance in cranio-maxillofacial (CMF) surgery simulations. Since the biomechanical properties of living tissues and their numerical modeling are, in general, very complex, our focus is on the investigation of qualitative and quantitative diff...

In this paper, deep sub-micron CMOS process compatible high Q on chip spiral inductors with air gap structure were designed and fabricated. In the design the electromagnetic solver, SONNET, and the finite element program, ANSYS, were used for electrical-characteristics and maximum mechanical strength, respectively. The copper wires were capped with electroless Ni plating to prevent the copper f...

Recent research has shown that experiencing events that represent a significant threat to social bonds activates a network of brain areas associated with the sensory-discriminative aspects of pain (Kross et al., 2011). In the present study we investigated whether the same brain areas are involved when witnessing social exclusion threats experienced by others. Using a within-subject design, we s...

Recommender systems research has experienced different stages such as from user preference understanding to content analysis. Typical recommendation algorithms were built on the following bases: (1) assuming users and items are IID, namely independent and identically distributed, and (2) focusing on specific aspects such as user preferences or contents. In reality, complex recommendation tasks ...

We present a connectionist model of false memories called the Associative Self-Organizing Network (ASON) model. Four mechanisms underlying the Constructive Memory Framework (CMF) guide the design of the ASON model, a connectionist operationalisation of the CMF. Simulation studies of experiments in the DRM paradigm reveal the ASON model to exhibit false memories. In addition, the effects of Mean...

A metaheuristic is a high-level problem-independent algorithmic framework that provides a set of guidelines or strategies to develop heuristic optimization algorithms (Sörensen and Glover, To appear). Notable examples of metaheuristics include genetic/evolutionary algorithms, tabu search, simulated annealing, and ant colony optimization, although many more exist. A problem-specific implementati...

The essentials of modern software development (such as low cost and high efficiency) demand software developers to make intensive reuse of the existing open source frameworks or libraries (generally referred as frameworks) available on the web. However, developers often face challenges in reusing these frameworks due to several factors such as the complexity and lack of proper documentation. In...

National curricula need to change drastically to comply with the competences needed for the 21 century. In this paper eight frameworks describing 21 century competences were analysed. A comprehensive search for information about 21 century competences was conducted across the official websites of the selected frameworks, resulting in 32 documents that were analysed in detail. Travers and Westbu...

ion metrication VALIDATION metrication abstraction (tool-based) (expert’s report) internal metric external metric measure The weakness of the evaluation part in the measurement frameworks results in different kinds of empirical evaluations as: 1. (vague) expertise’s, 2. defining limits (warning or dangerous values), 3. (ordinal) empirical evaluations, 4. (full) empirical function (e.g. function...