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Subjects / keywords: Ordenadores; Programación; Algoritmos

Subjects / keywords: WIRTH, NIKLAUS; PRENTICE-HALL; 005.12 W799a

In static scheduling problems it is assumed that jobs are ready at zero time or before processing begins. In dynamic scheduling problems a job arrival can be given at any instant in the time interval between zero and a l...

A computer is generally considered to be a universal computational device; i.e., it is believed able to simulate any physical computational device with a cost in computation time of at most a polynomial factor: It is not...

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...

The development of digital technologies, capable of analysing massive amounts of data, has led to the widespread implementation of data processing technologies and automated decision-making processes in many areas of hum...

Subjects / keywords: WILDE, DANIEL U; PRENTICE-HALL; 005.113 W671i

Subjects / keywords: SEDGEWICK, ROBERT; ADDISON WESLEY; 518.1 S448a2

Subjects / keywords: THEUNIVERSIY OF CHICAGO PRESS; 616.988 G345g

In this book the authors present a complete state-of-the art in the field. Then they give an overall vision about the diverse varieties of MOEAs (Multi-Objetive Evolutionary Algorithms) and their performance. Important a...

In this preliminary study the Flow Shop Scheduling Problem (FSSP) is solved by hybrid Evolutionary Algorithms. The algorithms are obtained as a combination of an evolutionary algorithm, which uses the Multi-Inver-Over op...

In a production system it is usual to stress minimum tardiness to achieve higher client satisfaction. According to the client relevance, job processing costs and requirements, and various other considerations, a weight ...

The choice of a search algorithm can play a vital role in the success of a scheduling application. Evolutionary algorithms (EAs) can be used to solve this kind of combinatorial optimization problems. Compared to conventi...

Determining an optimal schedule to minimize the completion time of the last job abandoning the system (makespan) becomes a very difficult problem when there are more than two machines in the flow shop. Due both to its ec...

In an m-machines n-jobs flow-shop sequencing problem each job consists of m operations and each operation requires a different machine, so n jobs have to be processed in the same sequence on m machines. The processing ti...

Sequential and parallel evolutionary algorithms (EAs) are developed and evaluated on two hard optimisation problems arising in the field of Telecommunications: designing error correcting codes, and finding optimal placem...

There is a need of counting on precise measurements of subjective losses that can be used for predicting the quality of an image. The objective of the present work is to determine these distortion measurements and test t...

Evolutionary Computation (EC) have been applied to a great number of optimisation problems with some success, specially in fields such as production operations in manufacturing industry, parallel and distributed systems,...

In the restricted single-machine common due date problem the goal is to find a schedule for the n jobs which jointly minimizes the sum of earliness and tardiness penalties, while for the weighted tardiness problem the go...

In several applications, the trajectory of an entity, a feature or an object has to be tracked over a sequence of image frames. When the processing is to be performed in real time, there are important constraints leading...

This paper presents a database containing 'ground truth' segmentations produced by humans for images of a wide variety of natural scenes. We define an error measure which quantifies the consistency between segmentations ...

Now in its second edition, Nursing Facts Made Incredibly Quick! is the point-of-care reference that every nurse in every specialty needs. This pocket-sized book of clinical tools provides instant access to information th...

Operations Research, Management Science or Business Analytics is a technology that helps improve business decision making. This book is focused on linear, integer, nonlinear and multiobjective programming, as well as mul...

Globalization and new technologies with their breakneck competitiveness and speed of doing business have driven the development of e-commerce, changing the way products are sold and bought today. The new digital era in w...