Applications of Bee Colony Optimization - Durham e …
V. Tereshko, A. Loengarov, "Collective decision-making in honey bee foraging dynamics", Comput. Inf. Syst. J., 2005, pp.1-7.
Artificial Bee Colony (ABC) Algorithm Homepage
By finding the coverage area and sensing range, the network lifetime maximized and reduces the energy consumption
Key words: Wireless Sensor Networks (WSN'S), Ant Colony Optimization, Connective Coverage, Network Lifetime.
"ACO (Ant Colony Optimization)" will provide you with many famous scholars' homepage, this scholars are all take ACO as part of their research interests. This part comes from Appendix B of the book “Ant Colony Algorithms: Theory and Applications”, which was written by Dr. Haibin DUAN, and published by Science Press in Dec. 2005.
Artificial Bee Colony Algorithm for Solving Optimal …
To demonstrate the validity of the proposed algorithm, computer simulations are carried out on actual power network of Kerman Province, Iran and the simulation results are presented and discussed.
Key words: Distribution systems, Loss Sensitivity Factors, Capacitor placement, Artificial Bee Colony Algorithm
A brief historical overview and a comparative study is presented for some approaches used in solving MLP problem with the solution obtained in the weighting approach with two cases collateral numerical illustrative examples.
Key words: Multi level decision making; hierarchical structures; weighting approach; scalar optimization problem; analytic hierarchy process
A comparative study of Artificial Bee Colony algorithm
In this paper we presents the different techniques of Ant Colony Optimization (ACO) that are improves the routing mechanism.
Key words: MANET, Ant, Pheromones, Survey, ACO
Most projects of these natures have not been adopted by the small farmers, either because the final design and data collection procedures are frequently inappropriate or the cost has remained inaccessible and the subsequent transfer of technology from researcher to the end user has been anything but effective.
A Comparative Study of Artificial Bee Colony versus …
Bee colony based parameter selection for subpixel mapping
Optimization, color conversion, gradient and mesh algorithms are image processing techniques have been implemented.
** Ant-Colony & Bee-Colony Optimization ** ANSYS, MSC Marc, ..
Implementation of an efficient Zig-Bee based Train Anti-Collision for railways is being proposed in this paper.
(ABC) Algorithm on FPGA for Real-Time Applications, MSc
BEE COLONY OPTIMIZATION THESIS
Ant colony optimization algorithms - Wikipedia
V. Tereshko, "Reaction-diffusion model of a honeybee colony’s foraging behavior", in: M. Schoenauer, e t al. (Eds.), Parallel Problem Solving from Nature VI, Lecture Notes in Computer Science, vol. 1917, Springer- Verlag, Berlin, 2000, pp. 807–816.
Master Thesis (In Turkish), 2010.
V. Tereshko, T. Lee ,"How information mapping patterns determine foraging behavior o f a honey bee colony", Open Syst. Inf. Dyn. 9, 2002, pp.181–1 93.
The Scientific World Journal is a ..
Many computationally difficult problems are attacked using non-exact algorithms, such as approximation algorithms and heuristics. This thesis investigates an ex- ample of the latter, Bee Colony Optimization, on both an established optimization problem in the form of the Quadratic Assignment Problem and the FireFighting problem, which has not been studied before as an optimization problem. Bee Colony Optimization is a swarm intelligence algorithm, a paradigm that has increased in popularity in recent years, and many of these algorithms are based on natural pro- cesses.
We tested the Bee Colony Optimization algorithm on the QAPLIB library of Quadratic Assignment Problem instances, which have either optimal or best known solutions readily available, and enabled us to compare the quality of solutions found by the algorithm. In addition, we implemented a couple of other well known algorithms for the Quadratic Assignment Problem and consequently we could analyse the runtime of our algorithm.
We introduce the Bee Colony Optimization algorithm for the FireFighting problem. We also implement some greedy algorithms and an Ant Colony Optimization al- gorithm for the FireFighting problem, and compare the results obtained on some randomly generated instances.
We conclude that Bee Colony Optimization finds good solutions for the Quadratic Assignment Problem, however further investigation on speedup methods is needed to improve its performance to that of other algorithms. In addition, Bee Colony Optimization is effective on small instances of the FireFighting problem, however as instance size increases the results worsen in comparison to the greedy algorithms, and more work is needed to improve the decisions made on these instances.
Mathematical and Natural Sciences
B. Basturk, D. Karaboga,"An artificial bee colony (ABC) algorithm for numeric function optimization", Applied Soft Computing, 8(1), 2008, pp. 687-697
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In the late fifties, the Government of India decided to establish Regional Engineering Colleges (RECs) under the Quality Technical Education Policy-one each in every major state-with the prime objectives of imparting quality technical education throughout the country and fostering national integration. The Bachelor of Engineering (B.E.) program was started with 3 branches of engineering namely, Civil Engineering, Mechanical Engineering, and Electrical Engineering. Considering the success in achieving the objective of ensuring a promising carrier of the students of the above disciplines, inspired the committee to come up with new branches which led to the foundation of Electronics and Communication Department in 1983 with the initial intake of 20 students in under graduate (UG) program. Later on, due to successful completions of several batches, the strength of the department increased to 30 in 1988-89, 40 in 2005-06, 60 in 2006-07, 92 in 2008-09 and finally a total of 120 students in 2013-14. In 2013-14, the department bagged NBA accreditation for 5 years for UG program and became second NIT in India whose department of ECE has achieved this accreditation. Continuing with the successful road map, the department started its first post graduate (PG) program in Microelectronics and VLSI Design in 2007-08 with an initial intake of 13 students whose strength increased to 20 in 2008-09. But later on, in order to come up with a new specialization in PG program with the existing facilities, the number of intake was scaled down to 10 in 2014-15. In 2013-14, the department came up with a new PG program in Communication and Signal processing engineering.
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