Innovative Production Machines and Systems Conference - Special Session: Bees algorithm

Warm welcome

Sameh — Wed, 04 Jul 2007 13:23:01 +0100

Welcome every one to the dance floor of the bees' hive. I hope this special session will be active and lovely as the real bees in nature.

Feel free to select nectar, share it with others and dance for recruitment.

Co-chair bee

Sameh Otri
PhD Research Student

Application of the Bees Algorithm to the Selection Features for Manufacturing Data

mass845 — Mon, 21 Jan 2008 10:30:19 +0000

Data with a large number of features tend to be deficient in accuracy and precision. Some of the features may contain irrelevant information caused by data redundancy or by noise. A wrapper feature selection method using the Bees Algorithm and Multilayer Perceptron (MLP) networks is described in this paper. The Bees Algorithm is employed to select an optimal set of features for a particular pattern classification task. Each bee represents a possible set of features. The MLP classification error is computed for a data set with those features. This information is supplied to the Bees Algorithm to enable it to select the combination of features producing the lowest classification error.

Application of the Bees Algorithm to PCB assembly optimisation

Sameh — Mon, 05 Nov 2007 14:28:59 +0000

This paper discusses the application of the Bees Algorithm to the solution of two common problems associated with a printed circuit board assembly machine, namely, feeder arrangement and component placement sequencing. Computational experiments show that the Bees Algorithm gives a significant reduction in assembly time compared to the results obtained with the Genetic Algorithm and Evolutionary Programming on a benchmark assembly task.

Using the Bees Algorithm to optimise a Support Vector Machine for wood defect classification

zaidimuhamad — Fri, 10 Aug 2007 14:42:59 +0100

This paper describes a new application of the Bees Algorithm to the optimisation of a Support Vector Machine (SVM) for the problem of classifying defects in veneer wood. The algorithm, which is a swarm-based algorithm inspired by the food foraging behaviour of honey bees, was also employed to select the components making up the feature vectors to be presented to the SVM. The objective of the work was to find the best combination of SVM parameters and data features to maximise defect classification accuracy. The paper presents the results obtained to demonstrate the strengths of the Bees Algorithm as an optimisation tool.

Manufacturing cell formation using the Bees Algorithm

Ebubekir — Thu, 05 Jul 2007 13:34:31 +0100

Cellular manufacturing has received increasing attention in recent years. The key problem in designing cellular manufacturing systems is cell formation, which is concerned with grouping parts with similar processing requirements into part families and associated machines into machine cells. This paper presents a novel approach for solving the cell formation problem. The proposed approach is based on a new optimisation technique called the Bees Algorithm that mimics the food foraging behaviour of honey bees. Experimental results indicate that the proposed approach is very effective for large-sc

Using the Bees Algorithm to tune a fuzzy logic controller for a robot gymnast

Ahmed Haj Darwish — Thu, 05 Jul 2007 13:15:33 +0100

This paper focuses on using the Bees Algorithm to tune the parameters of a fuzzy logic controller developed to stabilise and balance an under-actuated two-link acrobatic robot (ACROBOT) in the upright position. A linear quadratic regulator (LQR) was first developed to obtain the scaling gains needed to design the fuzzy logic controller. Simulation results confirmed that using the Bees Algorithm to optimise the membership functions and the scaling gains of the fuzzy system improved the controller performance.

Multi-Objective Optimisation using the Bees Algorithm

Afshin — Wed, 04 Jul 2007 09:45:41 +0100

This paper describes the first application of the Bees Algorithm to multi-objective optimisation problems. The Bees Algorithm is a search procedure inspired by the way honey bees forage for food. A standard mechanical design problem, the design of a welded beam structure, was used to benchmark the Bees Algorithm. The paper presents the results obtained showing the robust performance of the Bees Algorithm.