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7th IEEE International Conference on Industrial Informatics

作者： Packianather, M. S. Landy, M. Pham, D. T. Cardiff Univ Mfg Engn Ctr Queens Bldg Cardiff CF24 3AA S Glam Wales Univ Nantes Ecole Polytech F-44035 Nantes France

ISBN: (纸本)9781424437597

The bees algorithm is an intelligent optimisation tool mimicking the food foraging behaviour of honey bees. As a powerful search algorithm suitable for both continuous function and combinatorial optimisation it has gone through several modifications since its inception in order to improve its overall performance. This paper presents a new version of the bees algorithm which uses pheromone, a chemical substance secreted by bees and other insects into their environment, enabling them to communicate with other members of their own species. The new bees algorithm employs the pheromone to attract bees to explore the promising regions of the search space. Following a description of the algorithm, the paper presents the results obtained for a number of benchmark problems for functional optimization. Compared to the original bees algorithm, the new version showed an average improvement of 41% in convergence speed.

关键词： bees algorithm Intelligent Optimisation Pheromone

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Minimum-Time Motion Planning for a Robot Arm Using the bees algorithm

Minimum-Time Motion Planning for a Robot Arm Using the Bees ...

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7th IEEE International Conference on Industrial Informatics

作者： Ang, M. C. Pham, D. T. Ng, K. W. Cardiff Univ Mfg Engn Ctr Cardiff CF24 3AA Wales

ISBN: (纸本)9781424437597

The problem of determining the minimum motion time for a robot arm is not new. Several approaches have been successfully proposed to solve this problem. One of these approaches involves generating a fixed number of joint displacements to construct the joint trajectories via cubic spline functions before scaling the travel time to avoid violating kinematic constraints such as the maximum permissible velocity, acceleration and jerk. Conforming to these kinematic constraints is necessary to prevent trajectories that are undulant and normally unsuitable for robotic motion. This paper presents a Pareto-based multi-objective bees algorithm to determine the minimum travelling time for a SCARA-type robot arm that takes consideration of trajectory smoothness. The results obtained are better than those reported for solutions using the genetic algorithm (with breeder genetic algorithm operators and the path redistribution with relaxation operator), the Nelder-Mead flexible polyhedron search and the improved polytope algorithm with a penalty function.

关键词： robot motion planning multi-objective optimisation bees algorithm

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Crack detection in circular cylindrical shells using differential quadrature method

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INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING 2013年 111卷 209-216页

作者： Moradi, S. Tavaf, V. Shahid Chamran Univ Dept Mech Engn Ahvaz 61355 Iran

The differential quadrature method combined with an evolutionary optimization algorithm has been proposed for crack detection in cylindrical shell structures. The circumferential crack, which is assumed to be open, is modeled by the extended rotational spring. A crack with finite length divides the shell into four segments. The governing differential equations of motion of the shell are formulated based on Flugge's shell theory. Applying differential quadrature to the differential equations of each segment and the corresponding boundary and continuity conditions results in an algebraic system of equations. Then, an eigenvalue analysis is performed to obtain the natural frequencies of the cracked shell. To identify the crack parameters, an optimization problem is defined and minimized by bees algorithm, a swarm-based evolutionary optimization technique. The integrity and applicability of the proposed method is confirmed by some experimental case studies. The results show that the crack statuses are predicted well. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Crack detection Differential quadrature Shell Experimental modal analysis bees algorithm

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Optimisation of a Fuzzy Logic Controller for a Flexible Single-Link Robot Arm Using the bees algorithm

Optimisation of a Fuzzy Logic Controller for a Flexible Sing...

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7th IEEE International Conference on Industrial Informatics

作者： Pham, D. T. Kalyoncu, Mete Cardiff Univ Mfg Engn Ctr Cardiff CF24 3AA Wales

ISBN: (纸本)9781424437597

This paper focuses on using the bees algorithm to tune the scaling gains and other parameters of a fuzzy logic controller for a flexible single-link robot arm. The algorithm optimises those quantities so that the controller can move the link to a desired position with the minimum amount of vibration during the movement. Following a description of the algorithm, the paper gives the experimental results obtained for the robot demonstrating the efficiency and robustness of the design.

关键词： bees algorithm optimisation fuzzy logic controller robot flexible link

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Autonomic Power Aware Cloud Resources Orchestration Architecture for Web Applications

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INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING 2013年第6期6卷 63-81页

作者： Darwish, R. R. Helwan Univ Dept Mech Engn Cairo Egypt

Endless resources provisioning illusion is the mainstay for cloud computing paradigm. However, the unpredictable volatility nature involving web applications workload demand would highly hinder cloud computing platforms performance, furthermore, expose cloud resources for possible devastation. Accordingly, this work proposes autonomic power aware SLA-oriented cloud resources orchestration two-tier architecture. Despite complexity and uncertainties of the workload fluctuations, the proposed architecture geared for leveraging cloud system resources utilization, ensuring explicit guarantees on web applications' responsiveness obligations, meanwhile achieving power consumption minimization objectives. The proposed architecture consolidates heuristic methodologies along with control theory approaches in a resource orchestration hierarchical structure. Firstly, an autonomic global controller is presented. The proposed global controller exploits heuristic methodology for mapping virtual machines (VMs) to the appreciate cloud resources in accordance to heuristic multidimensional objectives based placement strategy. Secondly, a proactive fuzzy-logic based local controller is proposed. The proposed local controller aimed at in confronting workloads' sustainable fluctuations via proactive amendment for the placement and provisioning schedules. Furthermore, the proposed local controller oriented towards maintaining active power management policy especially during transient peak of usage, thereby mitigating overall costs, and extending resources capacity and performance capabilities. Simulation results and comparisons demonstrate that the proposed architecture significantly surpasses previous approaches in terms of total energy consumption, furthermore maintaining web applications SLAs objectives despite dynamic workload scenarios.

关键词： bees algorithm Cloud Computing Fuzzy Logic Controller Resource Orchestration Virtualization Web Applications

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Achieving CO2 Emission Targets for Energy Consumption at Canadian Manufacturing and beyond;using Hybrid Optimization Model

Achieving CO2 Emission Targets for Energy Consumption at Can...

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International Joint Conference on Neural Networks (IJCNN)

作者： Marzi, Arash Marzi, Elham Marzi, Hosein Dr John Hugh Gillis Reg High Sch Antigonish NS B2G 2W5 Canada St Francis Xavier Univ Dept Informat Syst Antigonish NS B2G 2W5 Canada

ISBN: (纸本)9781467361293;9781467361286

Due to sporadic climate change and global warming, world have signed international protocols promising to reduce their nation's emissions. This study focuses on the application of the bees algorithm, embedded with an artificial neural network, to determine practical yearly reductions for minimizing oil, natural gas, and coal emissions as by-products of energy consumption in Canada's manufacturing sector based on the Copenhagen Targets for Canada for 2020.

关键词： bees algorithm Artificial Neural Networks Optimization Emission reduction Sensitivity analysis

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Optimal design of mechanical components using the bees algorithm

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE 2009年第5期223卷 1051-1056页

作者： Pham, D. T. Ghanbarzadeh, A. Otri, S. Koc, E. Cardiff Univ Mfg Engn Ctr Cardiff CF24 3AA S Glam Wales Shahid Chamran Univ Fac Engn Dept Mech Engn Ahvaz Iran

This paper describes the first application of the bees algorithm to mechanical design optimization. The bees algorithm is a search procedure inspired by the way honey bees forage for food. Two standard mechanical design problems, the design of a welded beam structure and the design of coil springs, were used to benchmark the bees algorithm against other optimization techniques. The paper presents the results obtained showing the robust performance of the bees algorithm.

关键词： bees algorithm optimization mechanical design

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bees for Block Matching

Bees for Block Matching

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Annual Conference of the IEEE Industrial Electronics Society

作者： Daoud Boumazouza Yasmine Sefouane Mohamed Djeddi Boualem Khelouat Karima Benatchba Laboratoire de Methodes de Conception de Systeme Ecole Nationale Superieure d'Informatique (ESI)

ISBN: (纸本)9781479902255

Detection of moving objects in a video sequence is a growing field, used in various domains. There are, in the literature, several approaches to detect such movements. In this paper, we will focus on one of these approaches namely block matching. We propose to speed the performances of the block matching algorithm using the bees' algorithm which is known for its efficient exploration of search space as it uses two interesting strategies intensification and diversification. The proposed algorithm, BAforBM, is evaluated and compared to two existing ones: genetic bloc matching algorithm and a block matching algorithm based on PSO (Particule Swarm Optimisation).

关键词： Motion detection Block matching bees algorithm Metaheuristic block matching Motion detection Bee Video sequences

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Multiple Input Delays Estimation Using an Artificial Bee Colony algorithm

ABSTRACT AND APPLIED ANALYSIS

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ABSTRACT AND APPLIED ANALYSIS 2013年第Spe12期2013卷 1-6页

作者： Chang, Wei-Der Shu Te Univ Dept Comp & Commun Kaohsiung 824 Taiwan

This paper focuses on the time delay estimation of the system described in the form of discrete-time state equation with multiple input delays. To estimate the input delays, a new evolutionary computation called the artificial bee colony (ABC) algorithm is utilized. This algorithm is originally motivated from the social behaviors of honeybee organization, and it has been proven to be a powerful means for solving the optimized problem. Based on the proposed algorithm, the unknown system input delays can be further solved by minimizing a quadratic cost function of the system. Two illustrative examples are provided to verify the potential of the presented method in the time delay estimation. Some simulations containing different initial condition examinations and appearance of noises are further given. Numerical results show that the proposed method can do well in the multiple inputs delay estimation of discrete-time state equations.

关键词： TIME delay systems bees algorithm ESTIMATION theory DISCRETE-time systems PROBLEM solving NUMERICAL analysis

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COMPLETE AND APPROXIMATE METHODS FOR OFF-LINE PLACEMENT OF HARDWARE TASKS ON RECONFIGURABLE DEVICES

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JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS 2013年第2期22卷 1-1页

作者： Belaid, Ikbel Ouni, Bassem Muller, Fabrice Benjemaa, Maher Univ Nice Sophia Antipolis Elect Antennas & Telecommun Lab F-06560 Valbonne France Natl Sch Engn Sfax Res Unit ReDCAD Sfax Tunisia

With the advent of run-time partial reconfiguration, the most recent reconfigurable devices support reconfiguring hardware tasks individually, without interrupting the remaining tasks running on the same device. While the concept of run-time partial reconfiguration increases performance and resource utilization, it also leads to resource wastage, high configuration overhead and complex allocation situations of hardware tasks on reconfigurable devices. Many on-line and off-line methods for hardware task placement have been proposed for such reconfigurable devices to enhance placement quality expressed by fragmentation rate, the amount of task rejection and a few of them also estimate configuration overhead. However, these works treat each criterion individually and therefore do not reflect the overall metrics of placement quality. Hardware task placement is a multi-objective combinatory optimization problem. In this paper, we investigate the problem of off-line placement of hardware tasks in partially reconfigurable devices and we present a new three-level resource management that is based on two methods, i.e., a complete analytic method: the formulation into mixed integer programming, and an approximate iterative method: the bees algorithm. For both methods, the placement quality is measured by the rate of resource efficiency and by the amount of configuration overhead. Experiments demonstrate that the analytic method provides better resource efficiency than the bees algorithm by 33% and attains 15% of gain in configuration overhead.

关键词： Hardware task placement heterogeneous FPGA mixed integer programming bees algorithm partial run-time reconfiguration resource efficiency configuration overhead

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