نتایج جستجو برای: bees intelligent optimization algorithm

تعداد نتایج: 1032069  

Journal: :International Journal of Simulation Modelling 2007

2014
Broderick Crawford Ricardo Soto Wenceslao Palma Franklin Johnson Fernando Paredes Eduardo Olguín

We present a novel application of the Artificial Bee Colony algorithm to solve the non-unicost Set Covering Problem. The Artificial Bee Colony algorithm is a recent Swarm Metaheuristic technique based on the intelligent foraging behavior of honey bees. We present a 2-level metaheuristic approach where an Artificial Bee Colony Algorithm acts as a low-level metaheuristic and its paremeters are se...

2012
Tajinder Singh Mandeep Kaur Sandhu Z. Li H. Tong Hélène Waeselynck Pascale Thévenod-Fosse Olfa Abdellatif-Kaddour Michael Grottke Kishor S. Trivedi Mohammad Fathian Babak Amiri Rudolf Ramler Klaus Wolfmaier

So many techniques are used in the software testing environment and in this paper we survey the ABC algorithmic approach and its advantages over the GA (Genetic Algorithms). Artificial bee colony (ABC) algorithm is one of the most recently introduced swarm–based algorithms. These optimization approaches helps in memorization and also support the global optima. This algorithm is based on colony ...

J. Jin, J.N. He, L.J. Li,

A quick group search optimizer (QGSO) is an intelligent optimization algorithm which has been applied in structural optimal design, including the hinged spatial structural system. The accuracy and convergence rate of QGSO are feasible to deal with a spatial structural system. In this paper, the QGSO algorithm optimization is adopted in seismic research of steel frames with semi-rigid connection...

2008
Chenguang Yang Jie Chen Xuyan Tu Hussein A. Abbass Omid Bozorg Haddad Hyeong Soo Chang

Marriage in Honey Bees Optimization (MBO) is a new swarm-intelligence method, but existing researches concentrate more on its application in single-objective optimization. In this paper, we focus on improving the algorithm to solve the multi-objective problem and increasing its convergence speed. The proposed algorithm is named as multi-objective Particle Swarm Marriage in Honey Bees Optimizati...

A. Razzazi, F. Biabani, S. Hamzehei-Javaran, S. Shojaee,

Presently, the introduction of intelligent models to optimize structural problems has become an important issue in civil engineering and almost all other fields of engineering. Optimization models in artificial intelligence have enabled us to provide powerful and practical solutions to structural optimization problems. In this study, a novel method for optimizing structures as well as solving s...

Journal: :نشریه دانشکده فنی 0
محمدرضا قاسمی اکبر آزادی

one of the major purposes of optimization in civil engineering is to perform a suitable design for the structure. this goal has to fulfill technical criteria and contain the minimum economical costs. building frames are of the most customary civil engineering structures. therefore, optimization of these types of structures could be of a great concern from the economical viewpoints. one of the c...

Journal: :JSW 2014
Jing Li Yanping Li Yuan Wang Huakui Wang

In this paper, we present QoS bee routing protocol (QBR), a new routing algorithm based on the characteristics of Ad hoc networks and the bee colony algorithm. The new routing protocol is inspired by the foraging behavior of bees in nature, which can find the solution of global optimal value very quickly with the characteristic that every bee is able to search local optimal solution. Biological...

M.J. Soleimani Keshayeh, S. Asghar Gholamian,

Permanent Magnet Synchronous Motors (PMSMs) have been widely used in many industrial applications. In This paper a new method for multi objective optimal design of a permanent magnet synchronous motor (PMSMs) with surface mounted permanent magnet rotor is presented to achieve maximum efficiency and power density using a Bees algorithm for industrial applications. The objective function is a...

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