نتایج جستجو برای: artificial bee colony optimization
تعداد نتایج: 649773 فیلتر نتایج به سال:
The main objective of an operative testing strategy is the delivery of a reliable and quality oriented software product to the end user. Testing an application entirely from end to end is a time consuming and laborious process. Exhaustive testing utilizes a good chunk of the resources in a project for meticulous scrutiny to identify even a minor bug. A need to optimize the existing suite is hig...
Low frequency oscillation problems are very difficult to solve because power systems are very large, complex and geographically distributed. Therefore, it is necessary to utilize most efficient optimization methods to take full advantages in simplifying the problem and its implementation. From this perspective, many successful and powerful optimization methods and algorithms have been employed ...
Prediction of urban air pollution is an important subject in environmental studies. However, the required data for prediction is not available for every interested location. So, different models have been proposed for air pollution prediction. The feature selection (among 20 features given in Meteorology Organization data) was performed by binary gravitational search algorithm (BGSA) in this st...
Artificial bee colony (ABC) algorithm, inspired by the intelligent foraging behavior of honey bees, was proposed by Karaboga. It has been shown to be superior to some conventional intelligent algorithms such as genetic algorithm (GA), artificial colony optimization (ACO), and particle swarm optimization (PSO). However, the ABC still has some limitations. For example, ABC can easily get trapped ...
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