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21.634  Articles
1 of 2.164 pages  |  10  records  |  more records»
Improving network security is a difficult problem that requires balancing several goals, such as defense cost and need for network efficiency, to achieve proper results. Modeling the network as a game and using optimization problems to select the best mov... see more

El problema del scheduling es uno de los problemas más ampliamente tratados en la literatura; sin embargo, es un problema complejo NP hard. Cuando, además, se involucra más de un objetivo, este problema se convierte en uno de los más complejos en el campo... see more

This paper proposes a genetic algorithm for multiobjective scheduling optimization based in the object oriented design with constrains on delivery times, process precedence and resource availability. Initially, the programming algorithm (PA) was designed ... see more

This study examines the potential of combining decision support approaches to identify optimal bundles of ecosystem services in a framework characterized by multiple decision-makers. A forested landscape, Zona de Intervenção Florestal of Pai... see more

Using Pareto optimization in Multi-Objective Reinforcement Learning (MORL) leads to better learning results for network defense games. This is particularly useful for network security agents, who must often balance several goals when choosing what action ... see more

Under disaster circumstances, people in the impacted areas need different levels of medical services provided by the temporary or existing medical relief shelters whose medical service capability should be equal to or greater than their needs. It is an im... see more

This paper deals with multi-objective location routing problem (MOLRP). The two conflicting objectives considered are the minimization of total cost and maximization of total customer demand served. The MOPSO algorithm by Nguyen and Kachitvichyanukul (201... see more

In this paper the job shop scheduling problem (JSP) with minimizing two criteria simultaneously is considered. JSP is frequently used model in real world applications of combinatorial optimization. Multi-objective job shop problems (MOJSP) were rarely stu... see more

Interactive methods of multiobjective optimization repetitively derive Pareto optimal solutions based on decision maker's preference information and present the obtained solutions for his/her consideration. Some interactive methods save the obtained solut... see more

1 of 2.164 pages  |  10  records  |  more records»