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In this paper, an investigation of the influence of the population size on the genetic algorithm (GA) performance for a model parameter identification problem, is considered. The mathematical model of an E. coli fed-batch cultivation process is studied. The three model parameters - maximum specific growth rate (μmax), saturation constant (kS) and yield coefficient (YS/X) are estimated using different...
In this paper we present a Column Generation approach to the Quadratic Traveling Salesman Problem. Given a graph and a function that maps every pair of edges to a cost, the problem consists in finding a cycle that visits every vertex exactly once and such that the sum of the costs over all pairs of consecutive edges of the cycle is minimum. We propose a Linear Programming formulation that has a variable...
Fiber To The Home (FTTH) deployment is crucial for telecommunication operators for both economical and quality of service reasons. This paper deals with a real-life Passive Optical Network (PON) design problem focusing on optical cabling constraints. This decision problem is formulated as an integer linear program (ILP) and several solving approaches are designed. Tests performed on real instances...
We present ant colony optimisation approach, enriched with a novel self-adaptation mechanism, applied to solve DIVERSUM Problem that consits of generating a small diversified entity summarisation in a knowledge graph. The recently proposed DIVERSUM problem is viewed in this paper in a novel way as a NP-hard combinatorial optimisation problem. The presented preliminary experimental results indicate...
Grammar-dependent software development and grammarware engineering have recently received considerable attention. As a significant cornerstone of grammarware engineering, grammar refactoring is, nevertheless, still weakly understood and practiced. In this paper, we address this issue by introducing pLERO, formal specification language for preserving knowledge of grammar engineers, complementing mARTINICA,...
The paper presents a concept and the outline of the implementation of a hybrid approach to modeling and solving constrained problems. Two environments of mathematical programming (MP) and logic programming (LP) were integrated. The strengths of integer programming (IP) and constraint logic programming (CLP), in which constraints are treated in a different way and different methods are implemented,...
Distribution network design deals with defining which elements will be part of the supply chain and how they will be interrelated. Many authors have studied this problem from a cost minimization point of view. Nowadays the sustainability factor is increasing its importance in the logistics operations and must be considered in the design process. We deal here with the problem of determining the location...
Nonnegative Matrix Factorization (NMF) is one of the most promising techniques to reduce the dimensionality of the data. This presentation compares the method with other popular matrix decomposition approaches for various pattern analysis tasks. Among others, NMF has been also widely applied for clustering and latent feature extraction. Several types of the objective functions have been used for NMF...
The paper presents the concept and an outline of the implementation of a hybrid approach to supply chain modeling and optimization. Two environments mathematical programming (MP) and logic programming (LP) were integrated. The strengths of integer programming (IP) and constraint logic programming (CLP), in which constraints are treated in a different way and different methods are implemented, were...
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