Cel The Metaheuristics Network will be concerned with the study of a wide variety of metaheuristics an NP-hard problems. The young researchers involved in the network will be exposed to a variety of techniques, as well as to the challenge of applying them to many different situation and problems, both in academic and industrial settings. The research subject is therefore very well suited for training purposes because there are many different techniques involved which require evaluation and experimentation by teams of people with different background and experience and working co-operatively to the solution of a common problem. The main training goals of the network are:(i) to let young researchers learn about all the tested techniques as well as about a number of important optimization problems,(ii) to let them learn how to design experiments in a rigorous way, and(iii) to develop their project management skills by means of participation in a strictly co-ordinated team activity. Program(-y) FP5-HUMAN POTENTIAL - Programme for research, technological development and demonstration on "Improving the human research potential and the socio-economic knowledge base" (1998-2002) Temat(-y) Data not available Zaproszenie do składania wniosków Data not available System finansowania NET - Research network contracts Koordynator UNIVERSITE LIBRE DE BRUXELLES Wkład UE Brak danych Adres 50,Avenue Franklin Roosevelt 50, CP 194/6 1050 BRUXELLES Belgia Zobacz na mapie Koszt całkowity Brak danych Uczestnicy (3) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko DARMSTADT UNIVERSITY OF TECHNOLOGY Niemcy Wkład UE Brak danych Adres Alexanderstrasse 10 64283 DARMSTADT Zobacz na mapie Koszt całkowity Brak danych ISTITUTO DALLE MOLLE DI STUDI SULL' INTELLIGENZA ARTIFICIALE Szwajcaria Wkład UE Brak danych Adres C. so Elvezia 36 6900 LUGANO Zobacz na mapie Koszt całkowity Brak danych NAPIER UNIVERSITY Zjednoczone Królestwo Wkład UE Brak danych Adres Colinton 219 EH14 1DJ EDINBURGH Zobacz na mapie Koszt całkowity Brak danych