نتایج جستجو برای: honey bee mating optimization algorithm

تعداد نتایج: 1006175  

2012
Youxin LUO Xiaoyi CHE Lingfang LI

Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organize. An ant colony, a flock of birds or an immune system is a typical example of a swarm system. Bees’ swarming around their hive is another example of swarm intelligence. The Artificial Bee Colony algorithm is an optimization algorithm based on the intelligent behavior ...

Journal: :Expert Syst. Appl. 2014
Ganesh Krishnasamy Anand Jayant Kulkarni Raveendran Paramesran

Clustering is an important and popular technique in data mining. It partitions a set of objects in such a manner that objects in the same clusters are more similar to each another than objects in the different cluster according to certain predefined criteria. K-means is simple yet an efficient method used in data clustering. However, K-means has a tendency to converge to local optima and depend...

Journal: :Appl. Soft Comput. 2011
Dervis Karaboga Celal Ozturk

Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algorithms, simulates the intelligent foraging behavior of a honey bee swarm. Clustering analysis, used in many disciplines and applications, is an important tool and a descriptive task seeking to identify homogeneous groups of objects based on the values of their attributes. In this work, ABC is use...

2015
M. Basu

This paper presents artificial bee colony optimization for solving multi-area economic dispatch (MAED) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. Artificial bee colony optimization is a swarm-based algorithm inspired by the food foraging behavior of honey bees. The effectiveness of the proposed algorithm...

2014
Rodrigo Cuesta Broderick Crawford Ricardo Soto Fernando Paredes

In this paper, we present a new Artificial Bee Colony algorithm to solve the non-unicost Set Covering Problem. The Artificial Bee Colony algorithm is a recent metaheuristic technique based on the intelligent foraging behavior of honey bee swarm. Computational results show that Artificial Bee Colony algorithm is competitive in terms of solution quality with other metaheuristic approaches for the...

2011
Min-Yuan Cheng Li-Chuan Lien

The construction site layout (CSL) design presents a particularly interesting area of study because of its relatively high level of attention to usability qualities, in addition to common engineering objectives such as cost and performance. However, it is difficult combinatorial optimization problem for engineers. Swarm intelligence (SI) was very popular and widely used in many complex optimiza...

Journal: :Engineer 2022

"ENGINEER", established in 1973 by The Institution of Engineers, is a Journal for dissemination Engineering knowledge, published quarterly.If you are interested contributing an Original Technical Paper based on research the author(s) (intended Section I) or Article Professional interest related to Engineering. (Section II) this journal please go through publication checklist which can be downlo...

Journal: :Int. J. of Applied Metaheuristic Computing 2013
Bhabani Shankar Prasad Mishra Satchidananda Dehuri Gi-Nam Wang

Nowadays computers are used to solve a variety and multitude of complex problems facing in every sphere of peoples’ life. However, many of the problems are intractable in nature exact algorithm might need centuries to manage with formidable challenges. In such cases heuristic or in a broader sense meta-heuristic algorithms that find an approximate solution but have acceptable time and space com...

2016
Youchuan Wan Mingwei Wang Zhiwei Ye Xudong Lai

Texture image classification is an important topic in many applications in machine vision and image analysis. Texture feature extracted from the original texture image by using "Tuned" mask is one of the simplest and most effective methods. However, hill climbing based training methods could not acquire the satisfying mask at a time; on the other hand, some commonly used evolutionary algorithms...

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