Call us toll-free

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.

Approximate price

Pages:

275 Words

$19,50

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.

Reference
[1] K.

 (2013) Applications of Bee Colony Optimization. Masters thesis, Durham University.

"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 …

International Journal of Biological, Ecological and Environmental Sciences (IJBEES), 2012.

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

Reference
[1] C.

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

Reference
[1] G.

A comparative study of Artificial Bee Colony algorithm

thesis submitted to the college of Agriculture, University of Sulaimani.[5] Beersma J.J.

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

Reference
[1] C.-K.

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.

In recent years, the notion of collaborative spam filtering with near-duplicate similarity matching scheme has been widely discussed.
Order now
  • 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

Order now

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

Type or paste a DOI name into the text box

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.

Order now
  • Kim

    "I have always been impressed by the quick turnaround and your thoroughness. Easily the most professional essay writing service on the web."

  • Paul

    "Your assistance and the first class service is much appreciated. My essay reads so well and without your help I'm sure I would have been marked down again on grammar and syntax."

  • Ellen

    "Thanks again for your excellent work with my assignments. No doubts you're true experts at what you do and very approachable."

  • Joyce

    "Very professional, cheap and friendly service. Thanks for writing two important essays for me, I wouldn't have written it myself because of the tight deadline."

  • Albert

    "Thanks for your cautious eye, attention to detail and overall superb service. Thanks to you, now I am confident that I can submit my term paper on time."

  • Mary

    "Thank you for the GREAT work you have done. Just wanted to tell that I'm very happy with my essay and will get back with more assignments soon."

Ready to tackle your homework?

Place an order