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Materias / palabras clave: WILDE, DANIEL U; PRENTICE-HALL; 005.113 W671i

Materias / palabras clave: COE, NORMAN; CAMBRIDGE UNIVERSITY PRESS; 428 C272wr

La localización de servicios (“Facility location” en inglés) pretende encontrar el emplazamiento de uno o más centros (servicios) de modo que se optimice una determinada función objetivo. Dicha función objetivo pu...

Abstract This work shows the experimental validation of a method developed for determining the strain profile applied to a fiber Bragg grating by solving the inverse scattering problem. The non-uniform strain profile is ...

Efficiently solving the user equilibrium traffic assignment problem with elastic demand (UE-TAPED) for transportation networks is a critical problem for transportation studies. Most existing UE-TAPED algorithms are desig...

Abstract In this paper, we propose a modified version of the shifted VM algorithms where the matrices have the form where and are symmetric positive semi definite matrices, usually , is obtained from to satisfy the shift...

The object of research is the problem of rational distribution of limited resources between subsystems of a complex system that function independently. The relevance of the work is determined by the fundamental features ...

Tujuan penelitian ini adalah untuk melihat efektivitas pemanfaatan multimedia interaktif pada siswa dalam pemecahan masalah informatika ditinjau dari kemampuan siswa MTs Nurul Jadid tahun pelajaran 2021/2022. Jenis penel...

Scheduling is an active area of research in applied artificial intelligence. Scheduling problems typically comprise several concurrent (and often conflicting) goals, and several resources which may be allocated in order ...

The flow shop scheduling problem (FSSP) [12], has held the attention of many researchers. In a simplest usual situation, a set of jobs must follow the same route to be executed on a set of machines (resources) and the ma...

Parallel machine scheduling, also known as parallel task scheduling, involves the assignment of multiple tasks onto the system architecture’s processing components (a bank of machines in parallel). A basic model invol...

In this work a solution using evolutionary algorithms with penalty function for the non-guillotine cutting problem is presented. In this particular problem, the rectangular pieces have to be cut from an unique large obje...

This paper shows a description of an application for solving the Short-Run Economic Dispatch Problem. This problem consists of searching the active power hourly schedule generated in electrical networks in order to meet ...

The fragment assembly problem consists in the building of the DNA sequence from several hundreds (or even, thousands) of fragments obtained by biologists in the laboratory. This is an important task in any genome project...

Having developed multiobjective optimization algorithms using evolutionary optimization methods and demonstrated their niche on various practical problems involving mostly two and three objectives, there is now a growing...

In spite of the NP-completeness of the satisfiability decision problem (SAT problem), many researchers have been attracted by it because SAT has many applications in Artificial Intelligence. This paper presents a randomi...

In this paper, we present an artifi cial immune system (AIS) based on the CLONALG algorithm for solving constrained (numerical) optimization problems. We develop a new mutation operator which produces large and small ste...

In this paper, we present a modified version of an algorithm inspired on the T-Cell model, it is an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model (TCSA) is increased wit...

This book is aimed at covering the bases on random variables, random vectors and stochastic processes, necessary to be able to address the study of stochastic models based mainly on random and stochastic differential equ...

Traditional education, which is mainly based on evaluating theoretical content at the end of a course, is not in keeping with the skillset we require in the twenty-first century. Today, we need creative and innovative in...

Edited by Gualberto Buela-Casal, this book features a series of interviews with leading psychologists, mostly clinicians, about the major current challenges and perspectives of Clinical Psychology worldwide.Among the int...

This thesis, entitled €High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study€ investigates the computational issues related to the resolution of linear systems o...

Green Belts are agents of change trained in Lean Six Sigma methodologies and as such, can implement high-impact projects. After completing this certification course, participants will be able to apply Lean Six Sigma to a...