in this paper, a comprehensive model is proposed to design a network for multi-period, multi-echelon, and multi-product inventory controlled the supply chain. various marketing strategies and guerrilla marketing approaches are considered in the design process under the static competition condition. the goal of the proposed model is to efficiently respond to the customers’ demands in the presenc...

Received May 23, 2015 Revised July 13, 2015 Accepted August 2, 2015 A new distributed generation placement method based on biogeographybased optimization (BBO) is investigated in this paper. A significant novelty of this study lies in considering fuzzy load uncertainty. For this purpose a fuzzy backwardforward sweep load flow is proposed. The main objectives of this study is minimizing power lo...

in this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classifypatterns of different classes in the feature space. the introduced mutation operators and chaotic sequences allows us to overcomethe problem of early convergence into a local minima associated with particle swarm optimization algorithms. that is, the mutationope...

one of the most important and valuable goal of software development life cycle is software cost estimation or sce. during the recent years, sce has attracted the attention of researchers due to huge amount of software project requests. there have been proposed so many models using heuristic and meta-heuristic algorithms to do machine learning process for sce. cocomo81 is one of the most popular...

In aviation industry, considering more freedom in the selection and modification of flight paths during flight time is a new challenge, which is known as free flight. The free flight concept alters the current centralized and command-control airspace system (between air traffic controllers and pilots) to a distributed system that allows pilots choose their own flight paths more efficient and op...

In this paper a speed observer based on Imperialist Competitive Algorithm (ICA) trained artificial neural network is presented. The proposed speed observer is used in sensorless Direct Torque Control (DTC) IPMSM drive scheme. A multilayer perception is trained using imperialist competitive algorithm to estimate the rotor speed. Due to artificial neural network characteristics the proposed speed...

The paper presents a problem resolved from social Modeling associated with the adequate selection of clothes and their distribution in a Dresser using a range of 87 clothes with different features associated with a fashion collection to represent the symbolic capital of it. A case of study is presented regarding to the selection of 47 different possible combinations using data obtained from the...