A genetic algorithm approach for scheduling of resources in well-services companies

Abstract

In this paper, two examples of resources scheduling in well-services companies are solved by means of genetic algorithms: resources for call solving, people scheduling. The results demonstrate that the genetic algorithm approach can provide acceptable solutions to this type of call solving for scheduling in well-services companies. The suggested approach could be easily extended to various resource scheduling areas: process scheduling, transportation scheduling.

Authors and Affiliations

Adrian Brezulianu, Lucian Fira, Monica Fira

Keywords

Related Articles

 Blocking Black Area Method for Speech Segmentation

 Speech segmentation is an important sub problem of automatic speech recognition. This research is concerned with the development of a continuous speech segmentation system using Bangla Language. This paper presents...

 Dynamic Decision Support System Based on Bayesian Networks

 The improvement of medical care quality is a significant interest for the future years. The fight against nosocomial infections (NI) in the intensive care units (ICU) is a good example. We will focus on a set of ob...

 Diagrammatic Representation as a Tool for Clarifying Logical Arguments

 Knowledge representation of reasoning processes is a central notion in the field of artificial intelligence, especially for knowledge-based agents, because such representation facilitates knowledge of action outcom...

Hybrid Systems for Knowledge Representation in Artificial Intelligence

There are few knowledge representation (KR) techniques available for efficiently representing knowledge. However, with the increase in complexity, better methods are needed. Some researchers came up with hybrid mechanism...

 An Implementation of Outpatient Online Registration Information System of Mutiara Bunda Hospital

 Outpatient care is one of the medical services in Mutiara Bunda hospital. The management of outpatient registration of Mutiara Bunda Hospital used conventional way. Within 1 hour serving, 5 patients were enrolled w...

Download PDF file
  • EP ID EP135257
  • DOI -
  • Views 107
  • Downloads 0

How To Cite

Adrian Brezulianu, Lucian Fira, Monica Fira (2012). A genetic algorithm approach for scheduling of resources in well-services companies. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(5), 1-6. https://europub.co.uk/articles/-A-135257