Hybridization of Stochastic Local Search and Genetic Algorithm for Human Resource Planning Management
نویسندگان
چکیده
منابع مشابه
A Hybrid Algorithm using Firefly, Genetic, and Local Search Algorithms
In this paper, a hybrid multi-objective algorithm consisting of features of genetic and firefly algorithms is presented. The algorithm starts with a set of fireflies (particles) that are randomly distributed in the solution space; these particles converge to the optimal solution of the problem during the evolutionary stages. Then, a local search plan is presented and implemented for searching s...
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The need to economize limited resources such as energy, fuel, money, and/or time, is ubiquitous in many of the classical applications of planning. Although planning with resources is a long-standing topic, the progress made in solving such problems has been limited. Relaxation heuristics solve a relaxed planning problem in which all “negative effects” of the operators, such as resource consumpt...
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Background & Aims: Effective management of human resources in accordance with changes in the inside and outside environment of the health care system is essential and has a significant impact on costs, time spent, speed of service delivery, and overall quality of health services. The purpose of this study was to design a local model of human resource management for the private health sector in ...
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In many interesting cases, the reconstruction of a correct phylogeny is blurred by high mutation rates and/or horizontal transfer events. As a consequence, a divergence arises between the true evolutionary distances and the differences between pairs of taxa as inferred from available data, making the phylogenetic reconstruction a challenging problem. Mathematically, this divergence translates i...
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Forward-chaining heuristic search is a well-established and popular paradigm for domain-independent planning. Its effectiveness relies on the heuristic information provided by a state evaluator, and the search algorithm used with this in order to solve the problem. This paper presents a new stochastic local-search algorithm for forward-chaining planning. The algorithm is used as the basis of a ...
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ژورنال
عنوان ژورنال: Organizacija
سال: 2016
ISSN: 1581-1832
DOI: 10.1515/orga-2016-0005