This paper introduces a new tabu search algorithm for a strip packing problem. It integrates several key features: A consistent neighborhood, a fitness function including problem knowledge, and a diversification based on the history of the search. The neighborhood only considers valid, sometimes partial, packings. The fitness function incorporates measures related to the empty spaces. Diversifi...

This paper introduces a new tabu search algorithm for a strip packing problem. It integrates several key features: A consistentneighborhood, a fitness function including problem knowledge, and a di-versification based on the history of the search. The neighborhood only considers valid, sometimes partial, packings. The fitness function incor-porates measures related to the empty spac...

There are two methods for GIS similarity measurement problem, one is cross-coefficient for GIS attribute similarity measurement, and the other is spatial autocorrelation that is based on spatial location. These methods can not calculate subzone similarity problem based on universal background. The rough measurement based on membership function solved this problem well. In this paper, we used ro...

We introduce the regularized Newton method (rnm) for unconstrained convex optimization. For any convex function, with a bounded optimal set, the rnm generates a sequence that converges to the optimal set from any starting point. Moreover the rnm requires neither strong convexity nor smoothness properties in the entire space. If the function is strongly convex and smooth enough in the neighborho...

Given a double-well potential F , a Z-periodic function H, small and with zero average, and ε > 0, we find a large R, a small δ and a function Hε which is ε-close to H for which the following two problems have solutions: 1. Find a set Eε,R whose boundary is uniformly close to ∂BR and has mean curvature equal to −Hε at any point, 2. Find u = uε,R,δ solving −δ∆u+ F (u) δ + c0 2 Hε = 0, such that ...

How should a word's orthographic neighborhood affect perceptual identification and semantic categorization, both of which require a word to be uniquely identified? According to the multiple read-out model (Grainger & Jacobs, 1996), inhibitory neighborhood frequency effects should be observed in these types of tasks, and facilitatory neighborhood size effects should not be. In Experiments 1 and ...

We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, called a standard imset. The main result of the paper is that the set of standard imsets is the set of vertices (= extreme points) of a certain polytope. Motivated by the geometric view, we introduce the concept of the ...

Different social groups tend to settle in different parts of cities leading over time to social segregation. Neighborhood obviously plays an important role in this process – and what constitutes neighborhood is a cognitive notion. In segregation analysis neighborhood borders are often drawn arbitrarily or simple assumptions are used to weight neighbor influences. Some authors have developed ide...