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An Incorporation of the Fuzzy Greedy Search Heuristic With Evolutionary Approaches for Combinatorial Optimization in Operations Management

Sheibani, Kaveh - In: International Journal of Applied Evolutionary … 8 (2017) 2, pp. 58-72

Although greedy algorithms are important, nowadays it is well assumed that the solutions they obtain can be used as a starting point for more sophisticated methods. This paper describes an evolutionary approach which is based on genetic algorithms (GA). A constructive heuristic, so-called fuzzy...

Persistent link: https://www.econbiz.de/10012042715

The Role of Artificial Intelligence in Clinical Decision Support Systems and a Classification Framework

Walczak, Steven - In: International Journal of Computers in Clinical Practice … 3 (2018) 2, pp. 31-47

Clinical decision support systems are meant to improve the quality of decision-making in healthcare. Artificial intelligence is the science of creating intelligent systems that solve complex problems at the level of or better than human experts. Combining artificial intelligence methods into...

Persistent link: https://www.econbiz.de/10012043566

Analysis and Comparison of Clustering Techniques for Chronic Kidney Disease With Genetic Algorithm

Sahu, Sanat Kumar; Shrivas, A. K. - In: International Journal of Computer Vision and Image … 8 (2018) 4, pp. 16-25

The purpose of this article is to weigh up the foremost imperative features of Chronic Kidney Disease (CKD). This study is based mostly on three cluster techniques like; K means, Fuzzy c-means and hierarchical clustering. The authors used evolutionary techniques like genetic algorithms (GA) to...

Persistent link: https://www.econbiz.de/10012043858

Innovative Genetic Algorithmic Approach to Select Potential Patches Enclosing Real and Complex Zeros of Nonlinear Equation

Nadimpalli, Vijaya Lakshmi V.; Wankar, Rajeev; … - In: International Journal of Natural Computing Research (IJNCR) 6 (2017) 2, pp. 18-37

In this article, an innovative Genetic Algorithm is proposed to find potential patches enclosing roots of real valued function f:R→R. As roots of f can be real as well as complex, the function is reframed on to complex plane by writing it as f(z). Thus, the problem now is transformed to...

Persistent link: https://www.econbiz.de/10012046721

Implementing Genetic Algorithms to Assist Oil and Gas Pipeline Integrity Assessment and Intelligent Risk Optimization

Calzada-Orihuela, Gustavo; Urquiza-Beltrán, Gustavo; … - In: International Journal of Organizational and Collective … 7 (2017) 4, pp. 63-82

Oil and gas industry, worldwide, needs to monitor, control and assess the elements that are involved in the general oil transportation and production processes. However, these processes are not risk free. The project proposes an intelligent support system that provides optimized projections for...

Persistent link: https://www.econbiz.de/10012046775

Detection of Urban Areas using Genetic Algorithms and Kohonen Maps on Multispectral images

Mokadem, Djelloul; Amine, Abdelmalek; Elberrichi, Zakaria; … - In: International Journal of Organizational and Collective … 8 (2018) 1, pp. 46-62

In this article, the detection of urban areas on satellite multispectral Landsat images. The goal is to improve the visual interpretations of images from remote sensing experts who often remain subjective. Interpretations depend deeply on the quality of segmentation which itself depends on the...

Persistent link: https://www.econbiz.de/10012046780

Mission Design of Mobile Manipulators in Cluttered Environments for Service Applications

Xidias, Elias K.; Azariadis, Philip N.; Aspragathos, … - In: International Journal of Robotics Applications and … 4 (2016) 1, pp. 1-18

The purpose of this paper is to present a mission design approach for a service mobile manipulator which is moving and manipulating objects in partly known indoor environments. The mobile manipulator is requested to pick up and place objects on predefined places (stations). The proposed approach...

Persistent link: https://www.econbiz.de/10012047227

An Efficient Batch Scheduling Model for Hospital Sterilization Services Using Genetic Algorithm

Xu, Shubin; Wang, John - In: International Journal of Strategic Decision Sciences (IJSDS) 9 (2018) 1, pp. 1-17

A major challenge faced by hospitals is to provide efficient medical services. The problem studied in this article is motivated by the hospital sterilization services where the washing step generally constitutes a bottleneck in the sterilization services. Therefore, an efficient scheduling of...

Persistent link: https://www.econbiz.de/10012047527

Tracking Patterns with Particle Swarm Optimization and Genetic Algorithms

Tavares, Yuri Marchetti; Nedjah, Nadia; Mourelle, Luiza … - In: International Journal of Swarm Intelligence Research (IJSIR) 8 (2017) 2, pp. 34-49

The template matching is an important technique used in pattern recognition. The goal is to find a given pattern, of a prescribed model, in a frame sequence. In order to evaluate the similarity of two images, the Pearson's Correlation Coefficient (PCC) is used. This coefficient is calculated for...

Persistent link: https://www.econbiz.de/10012047847

Metadata as an Aggregation Final Model in Learning Environments: A New Perspective of Acquiring Knowledge in the New Millennium

Pires, Jorge Manuel; Cota, Manuel Pérez - In: International Journal of Technology Diffusion (IJTD) 7 (2016) 4, pp. 36-59

learning curves of different cognitive functions it would be something that would change completely the learning/study methods … for certain cognitive functions, through a learning curve less extensive because we would focus the attention in the … all the subjects above we will achieve the ultimate learning experience. This is the objective of this paper, demonstrate …

Persistent link: https://www.econbiz.de/10012048361