Monitoring environmental evolutions, one of the most crucial axes on which sustainable
development is based, requires the knowledge of information on the observed geographical …

This paper delves into the intricate scheduling strategies crucial for the final testing phase of
memory chip manufacturing within the semiconductor industry and other related sectors. It …

Graphical models (GMs) define a family of mathematical models aimed at the concise
description of multivariate functions using decomposability. We restrict ourselves to functions …

On the premise of satisfying the process priority relationship, there are many kinds of
feasible sequencing schemes. How to obtain the optimal process sequencing meeting the …

Exact solvers for optimization problems on graphical models, such as Cost Function
Networks and Markov Random Fields, typically use branch-and-bound. The efficiency of the …

The design of the novel metaheuristic method, called Topological Variable Neighborhood
Search, is presented and its theoretical properties are elaborated. The proposed …

In constraint satisfaction, pairwise consistency (PWC) is a well-known local consistency
improving generalized arc consistency in theory but not often in practice. A popular …

Peptide macrocycles represent a promising class of therapeutics, albeit one that is under-
represented amongst existing drugs. One disadvantage of macrocycles, however, is that …

In order to solve the problems of high average power consumption, low average throughput,
high average energy consumption per unit of data, and short network life cycle in traditional …

Abstract Cost Function Networks (CFNs) offer a simple and general framework for modeling
and solving constrained optimization problems which allows to deal with over-constrained …