Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Joseph M. Pasia"'
Publikováno v:
International Journal of Production Research. 55:5243-5258
Supplier development is increasingly important due to the complexity of today’s supply chains and the globalisation of businesses. Since manufacturers have only limited resources, they need to make an informed decision about which suppliers to deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bc5134f3a67c35192554ce932c1de9b
https://doi.org/10.1080/00207543.2017.1302618
https://doi.org/10.1080/00207543.2017.1302618
Autor:
Kamil J. Mizgier, Joseph M. Pasia
Publikováno v:
Central European Journal of Operations Research. 24:801-817
The evolution of international regulation leads to new capital requirements imposed on globally active companies. Financial services firms allocate capital to business lines in order to withstand the materializing credit losses and to measure the per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a05a7bea9b6f7fef69e1041883c4b61
https://doi.org/10.1007/s10100-015-0384-9
https://doi.org/10.1007/s10100-015-0384-9
Publikováno v:
International Journal of Hybrid Intelligent Systems. 9:75-90
Multi-objective random one-bit climbers moRBCs are one class of stochastic local search-based algorithms that maintain a reference population of solutions to guide their search. They have been shown to perform well in solving multi-objective optimiza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c7408c3e5ecb06838f8e21ad4d9a2dd
https://doi.org/10.3233/his-2012-0148
https://doi.org/10.3233/his-2012-0148
Publikováno v:
IPSJ Online Transactions. 4:9-22
Path relinking is a population-based heuristic that explores the trajectories in decision space between two elite solutions. It has been successfully used as a key component of several multi-objective optimizers, especially for solving bi-objective p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aec6a00fdd3037336c71f42b1184d511
https://doi.org/10.2197/ipsjtrans.4.9
https://doi.org/10.2197/ipsjtrans.4.9
Publikováno v:
Journal of Statistical Computation and Simulation. 75:237-251
In this article, we introduce genetic algorithms (GAs) as a viable tool in estimating parameters in a wide array of statistical models. We performed simulation studies that compared the bias and variance of GAs with classical tools, namely, the steep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::678d4d671a460694c950d57cd405b279
https://doi.org/10.1080/00949650410001665626
https://doi.org/10.1080/00949650410001665626
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642198922
EMO
EMO
Multi-objective random one-bit climbers (moRBCs) are one class of stochastic local search-based algorithms that maintain a reference population of solutions to guide their search. They have been shown to perform well in solving multi-objective optimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1b387e032f85d227e3d4ba4e6cc5fdd
https://doi.org/10.1007/978-3-642-19893-9_13
https://doi.org/10.1007/978-3-642-19893-9_13
Publikováno v:
NaBIC
Multi-objective random one-bit climbers (moRBCs) are one class of stochastic local search-based algorithms that maintain a reference population of solutions to guide their search. They have been shown to perform well in solving multi-objective optimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84dfeb3ee578002f48dc2113f8227c69
https://doi.org/10.1109/nabic.2010.5716343
https://doi.org/10.1109/nabic.2010.5716343
Publikováno v:
Parallel Problem Solving from Nature, PPSN XI ISBN: 9783642158438
PPSN (1)
PPSN (1)
Path relinking is a population-based heuristic that explores the trajectories in decision space between two elite solutions. It has been successfully used as a key component of several multi-objective optimizers, especially for solving bi-objective p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28afca75f687b2d9f9bb0b8365fd2741
https://doi.org/10.1007/978-3-642-15844-5_68
https://doi.org/10.1007/978-3-642-15844-5_68
Publikováno v:
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics ISBN: 9783540744450
SLS
SLS
In this paper we propose the application of Pareto ant colony optimization (PACO) in solving a bi-objective capacitated vehicle routing problem with route balancing (CVRPRB). The objectives of the problem are minimization of the tour length and balan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::216c1b77dfd6431c5bbd046f106261b8
https://doi.org/10.1007/978-3-540-74446-7_15
https://doi.org/10.1007/978-3-540-74446-7_15
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540709275
EMO
Evolutionary Multi-Criterion Optimization
4th International Conference on Evolutionary Multi-Criterion Optimization
4th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2007, Matsushima, Japan. pp.501-515, ⟨10.1007/978-3-540-70928-2_39⟩
EMO
Evolutionary Multi-Criterion Optimization
4th International Conference on Evolutionary Multi-Criterion Optimization
4th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2007, Matsushima, Japan. pp.501-515, ⟨10.1007/978-3-540-70928-2_39⟩
International audience; In this paper we present three path relinking approaches for solving a bi-objective permutation flowshop problem. The path relinking phase is initialized by optimizing the two objectives using Ant Colony System. The initiating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecd0ef52d2ed0c94092fee837ea72450
https://doi.org/10.1007/978-3-540-70928-2_39
https://doi.org/10.1007/978-3-540-70928-2_39