We propose several new hybrid heuristics for the differential dispersion problem, the best of which consists of a GRASP with sampled greedy construction with variable neighborhood search for local improvement. The heuristic maintains an elite set of high-quality solutions throughout the search. After a fixed number of GRASP iterations, exterior path relinking is applied between all pairs of eli...

0377-2217/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.ejor.2010.06.031 * Tel.: +49 40 6541 2591. E-mail address: [email protected] The article presents theoretical and experimental investigations of computational intelligence techniques for machine sequencing problems. Contrary to other approaches, which are experimentally driven only, our work is motivated by gaining insights in t...

We propose several new hybrid heuristics for the differential dispersion problem are proposed, the best of which consists of a GRASP with sampled greedy construction with variable neighborhood search for local improvement. The heuristic maintains an elite set of high-quality solutions throughout the search. After a fixed number of GRASP iterations, exterior path relinking is applied between all...

The current study investigated how lexical factors influence the intelligibility of spoken words, and how those effects interact with visual information. A forced-choice word-identification experiment was carried out under auditory-visual and auditoryonly conditions with varying S/N ratios, and the effects of lexical frequency and neighborhood density on identification accuracy were analyzed. T...

The credit scoring model development has become a very important issue, as the credit industry is highly competitive. Therefore, considerable credit scoring models have been widely studied in the areas of statistics to improve the accuracy of credit scoring during the past few years. This study constructs a hybrid SVM-based credit scoring models to evaluate the applicant’s credit score accordin...

Cluster analysis is a fundamental technique in pattern recognition. It is difficult to cluster data on complex data sets. This paper presents a new algorithm for clustering. There are three key ideas in the algorithm: using mutual neighborhood graphs to discover knowledge and cluster data; using eigenvalues of local covariance matrixes to express knowledge and form a knowledge embedded space; a...

A foreclosed property can have a negative impact on the prices of other properties within its neighborhood and these reduced property prices can lead to further foreclosures within the neighborhood; this is known as the foreclosure contagion effect. This effect has been demonstrated, within the real estate literature, to occur. Traditionally, real estate research have used statistical regressio...

We use Second World War destruction in London as a natural experiment to provide evidence on neighborhood e ects. We use a newly-collected and remarkable dataset on thousands of locations within London that records wartime destruction and the economic and social characteristics of locations from the latenineteenth to late-twentieth centuries. We combine these data with a quantitative model of t...

Transposed-letter effects (e.g., jugde activates judge) pose serious models for models of visual-word recognition that use position-specific coding schemes. However, even though the evidence of transposed-letter effects with nonword stimuli is strong, the evidence for word stimuli is scarce and inconclusive. The present experiment examined the effect of neighborhood frequency during normal sile...