Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Pierre Tolla"'
Publikováno v:
International Transactions in Operational Research. 9:731-746
Our search deals with methods hybridizing interior point processes and metaheuristics for solving 0-1 linear programs. This paper shows how metaheuristics can take advantage of a sequence of interior points generated by an interior point method. Afte
Autor:
Pierre Tolla
Publikováno v:
Concepts of Combinatorial Optimization, 2nd Edition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::313c5d2dc76fd8c90a795b5d1813bd9c
https://doi.org/10.1002/9781119005216.ch7
https://doi.org/10.1002/9781119005216.ch7
Publikováno v:
CIÊNCIAVITAE
Scopus-Elsevier
Scopus-Elsevier
In this paper, we propose a local search procedure to test the robustness of a specific 'satisfying point' neighbourhood. It consists of the following steps: (1) build an indifference area around the satisfying point in the criteria space by using th
Publikováno v:
Paradigms of Combinatorial Optimization: Problems and New Approaches, Volume 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d6b21fed8cb8f2e84bd240548f0fcaa
https://doi.org/10.1002/9781118600207.ch9
https://doi.org/10.1002/9781118600207.ch9
Publikováno v:
European Journal of Operational Research. 83:249-252
Autor:
Pierre Tolla, Abdelhalim M'silti
Publikováno v:
European Journal of Operational Research. 64:115-125
This paper develops a method for interactive MultiObjective NonLinear Programming procedure (MONLP). It provides a detailed description of an efficient algorithm, and reports on promising computational results. It also discusses several alternative s
Publikováno v:
Combinatorial Optimization and Theoretical Computer Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fbb9d7b22235d07bb242c0425ad2dca
https://doi.org/10.1002/9780470611098.ch19
https://doi.org/10.1002/9780470611098.ch19
In this paper we develop a branch-and-bound algorithm for solving a particular integer quadratic multi-knapsack problem. The problem we study is defined as the maximization of a concave separable quadratic objective function over a convex set of line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed5916ff95f9429836fd3d192e19c2ce
https://hal.archives-ouvertes.fr/hal-00917814/file/cahier_260.pdf
https://hal.archives-ouvertes.fr/hal-00917814/file/cahier_260.pdf
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540695066
SOFSEM (1)
SOFSEM (1)
The separable quadratic multi-knapsack problem (QMKP) consists in maximizing a concave separable quadratic integer (non pure binary) function subject to mlinear capacity constraints. In this paper we develop a branch-and-bound algorithm to solve (QMK
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30e873293c64689c29f7bfb04b659f73
https://doi.org/10.1007/978-3-540-69507-3_39
https://doi.org/10.1007/978-3-540-69507-3_39
Publikováno v:
Applied Optimization ISBN: 9781441954039
The Generalized Assignment Problem (GAP) consists in finding a maximum-profit assignment of tasks to agents with capacity constraints. In this paper, a path relinking heuristic is proposed for the GAP. The main feature of our path relinking is that b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e98ae6f580875feb545d3f7f9662bf35
https://doi.org/10.1007/978-1-4757-4137-7_1
https://doi.org/10.1007/978-1-4757-4137-7_1