Narek Babayan

TL;DR: In this paper, a new evolutionary based optimization technique, namely hybrid FPA/SA algorithm was developed, in order to maximize system reliability and minimize system's costs, which combines the approaches which are utilized in Flower Pollination Algorithm (FPA) and Simulated Annealing (SA) algorithm.

TL;DR: In this paper, the optimization study of an airfoil type Savonius turbine is presented, focusing on maximizing the power coefficient of the turbine, using a Discrete Vortex Method (DVM) for calculating power coefficient, a Class Shape Transfer (CST) function code for generating coordinates of airfoils and a Salp Swarm Algorithm (SSA) code for optimization.

TL;DR: In this article, a double multiple stream tube (DMST) theory was used to optimize the VAWT design. And a novel continuous optimization algorithm was proposed which can be considered as the combination of three heuristic optimization algorithms namely elephant herding optimization, flower pollination algorithm and grey wolf optimizer.

TL;DR: The results indicated that FRA can be a great candidate in solving complex engineering problems and has been compared with seven popular and well-known algorithms which are simulated annealing, particle swarm optimization, firefly algorithm, cuckoo search, flower pollination algorithm, krill herd and monarch butterfly.

TL;DR: In this article, an ant colony optimization algorithm has been used to optimize the geometry of a wind turbine and also investigate the influence of geometrical parameters on the performance of the turbine in 1% and 8% turbulence intensities.