Parameterized Schemes of Metaheuristics: Basic Ideas and Applications With Genetic Algorithms, Scatter Search, and GRASP

2013 ◽  
Vol 43 (3) ◽  
pp. 570-586 ◽  
Author(s):  
Francisco Almeida ◽  
Domingo Gimenez ◽  
Jose Juan Lopez-Espin ◽  
Melquiades Perez-Perez
Keyword(s):  
Genetic Algorithms ◽  
Scatter Search ◽  
Basic Ideas

Scatter Search and Genetic Algorithms for MAX-SAT Problems

2008 ◽  
Vol 7 (2) ◽  
pp. 101-124 ◽  
Author(s):  
Dalila Boughaci ◽  
Belaïd Benhamou ◽  
Habiba Drias
Keyword(s):  
Genetic Algorithms ◽  
Scatter Search ◽  
Max Sat

Metaheuristics in Data Mining

2011 ◽  
pp. 1200-1206
Author(s):  
Miguel García Torres
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
High Performance ◽  
Optimization Problems ◽  
Scatter Search ◽  
Optimization Methods ◽  
Population Based ◽  
Variable Neighbourhood Search ◽  
Neighbourhood Search ◽  
Distribution Algorithms

The Metaheuristics are general strategies for designing heuristic procedures with high performance. The term metaheuristic, which appeared in 1986 for the first time (Glover, 1986), is compound by the terms: “meta”, that means over or behind, and “heuristic”. Heuristic is the qualifying used for methods of solving optimization problems that are obtained from the intuition, expertise or general knowledge (Michalewicz & Fogel, 2000). Nowadays a lot of known strategies can be classified as metaheuristics and there are a clear increasing number of research papers and applications that use this kind of methods. Several optimization methods that already existed when the term appeared have been later interpreted as metaheuristics (Glover & Kochenberger, 2003). Genetic Algorithms, Neural Networks, Local Searches, and Simulated Annealing are some of those classical metaheuristics. Several modern metaheuristics have succeeded in solving relevant optimization problems in industry, business and engineering. The most relevant among them are Tabu Search, Variable Neighbourhood Search and GRASP. New population based evolutionary metaheuristics such as Scatter Search and Estimation Distribution Algorithms are also quite important. Besides Neural Networks and Genetic Algorithms, other nature-inspired metaheuristics such as Ant Colony Optimization and Particle Swarm Optimization are also now well known metaheuristics.

A hitchhiker’s guide to microscopy and microanalysis using telecommunications, e-mail, and the Internet

1994 ◽  
Vol 52 ◽  
pp. 390-391 ◽  
Author(s):  
Nestor J. Zaluzec
Keyword(s):  
The Internet ◽  
Information Superhighway ◽  
The World ◽  
Exchange Information ◽  
On Line ◽  
Computer Based ◽  
Software And Hardware ◽  
Communication Software ◽  
Basic Ideas ◽  
E Mail

The Information SuperHighway, Email, The Internet, FTP, BBS, Modems, : all buzz words which are becoming more and more routine in our daily life. Confusing terminology? Hopefully it won't be in a few minutes, all you need is to have a handle on a few basic concepts and terms and you will be on-line with the rest of the "telecommunication experts". These terms all refer to some type or aspect of tools associated with a range of computer-based communication software and hardware. They are in fact far less complex than the instruments we use on a day to day basis as microscopist's and microanalyst's. The key is for each of us to know what each is and how to make use of the wealth of information which they can make available to us for the asking. Basically all of these items relate to mechanisms and protocols by which we as scientists can easily exchange information rapidly and efficiently to colleagues in the office down the hall, or half-way around the world using computers and various communications media. The purpose of this tutorial/paper is to outline and demonstrate the basic ideas of some of the major information systems available to all of us today. For the sake of simplicity we will break this presentation down into two distinct (but as we shall see later connected) areas: telecommunications over conventional phone lines, and telecommunications by computer networks. Live tutorial/demonstrations of both procedures will be presented in the Computer Workshop/Software Exchange during the course of the meeting.

Basic Ideas and Principles for Quantifying Regional Blood Flow with Nuclear Medical Techniques

1996 ◽  
Vol 35 (05) ◽  
pp. 181-185 ◽  
Author(s):  
H. Herzog
Keyword(s):  
Blood Flow ◽  
Nuclear Medicine ◽  
Regional Blood Flow ◽  
Visual Presentation ◽  
Regional Cerebral Blood ◽  
Basic Principles ◽  
Parametric Images ◽  
Major Application ◽  
Basic Ideas ◽  
The Brain

SummaryThe measurement of blood flow in various organs and its visual presentation in parametric images is a major application in nuclear medicine. The purpose of this paper is to summarize the most important nuclear medicine procedures used to quantify regional blood flow. Starting with the first concepts introduced by Fick and later by Kety-Schmidt the basic principles of measuring global and regional cerebral blood are discussed and their relationships are explained. Different applications and modifications realized first in PET- and later in SPECT-studies of the brain and other organs are described. The permeability and the extraction of the different radiopharmaceuticals are considered. Finally some important instrumental implications are compared.

Genetic Algorithms—a Tool for OR?

1996 ◽  
Vol 47 (4) ◽  
pp. 550-561 ◽  
Author(s):  
Kathryn A Dowsland
Keyword(s):  
Genetic Algorithms
Sign in / Sign up

Export Citation Format

Share Document