ant colony optimisation (aco) algorithm and adaptive refinement mechanism are used in this paper for solution of optimization problems. many of the real engineering problems are، however، of continuous nature and finding their solution by discrete ant based algorithms requires discretisation of the decision variables in which affected the convergence and performance of the algorithm. in this pa...

A two-stage optimization method is presented by employing the evolutionary structural optimization (ESO) and ant colony optimization (ACO), which is called ESO-ACO method. To implement ESO-ACO, size optimization is performed using ESO, first. Then, the outcomes of ESO are employed to enhance ACO. In optimization process, the weight of double layer grid is minimized under various constraints whi...

several approaches are available to reduce pulsating torque components in permanent magnet motors. one of the known techniques is stator tooth shape modifications. this paper presents an integrated algorithm applicable for tooth shape optimization of permanent magnet motors. this method focuses on the reduced basis technique, finite element analysis and taguchi method and is conducted on tooth ...

abstract- agricultural extension agents should provide dry land producers with appropriate education to make them more interested in learning about water use optimization. therefore, it is recommended to accompany education with art. in this regard, a study, using the randomized experimental research design, was carried out among dry land grape producers in herayjan village, southwest iran, usi...

Nowadays, lightweight automotive component design, regarding fuel consumption, environmental pollutants and manufacturing costs, is one of the main issues in the automotive societies. In addition, considering safety reasons, the durability of the automotive components, as one of the most important design requirements should be guaranteed. In this paper, a two-step optimization process including...

The increasing penetration of renewable energy introduces more uncertainties and creates fluctuations in power systems than ever before, which brings great challenges for automatic generation control (AGC). It is necessary grid operators to develop an advanced AGC strategy handle uncertainties. dynamic optimization a sequential decision problem that can be formulated as discrete-time Markov pro...

This paper uses SketchUp and OpenStudio to design optimize the multiperformance parameters of near-zero energy consumption residential building scheme stage. By establishing a basic model, performance such as insulation thickness, typical outer window, window-to-wall ratio, their contribution rates within threshold range are optimized for conservation; simulate determined parameter combination ...