Abstract. This paper presents using the Bees Algorithm for Environmental/Economic power Dispatch problem which is formulated as a nonlinear constrained multi-objective optimisation problem. In this problem, both fuel cost and emission are to be simultaneously minimised. Simulation results presented for the standard IEEE 30-bus system using the Bees Algorithm with Weighted Sum are compared to other previous approaches and the comparison shows the superiority of the proposed Bees Algorithm and confirms its potential to solve the multiobjective EED problem.
Welding tasks in shipbuilding create great problems for a manual welder since welding
takes place in closed area with associated work environmental problems. This paper addresses the
problems involved in the welding robot with control algorithm and system. The control system may
similarly be modified as a tracking simulation test. The performance of the control system is
assessed through the use of field data. The aim of this paper is to determine feasible parameters for
a welding procedure with simulation for seam tracking of welding robot system. The main
advantage of tracking simulation is its flexibility in that as the welding parameters are modified at a
sufficiently high rate. Tracking simulation showed that the development of robot control algorithms
should be performed by simulation, since it saves time, expenses and efforts. This paper will
contribute to an increased use of automated welding technology with tracking simulation methods.
Also, this paper’s results can be used for the optimization of welding process using simulation
method with LabVIEW.
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