So far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is Particle Swarm Optimization (PSO). Prior some efforts by applying fuzzy logic for improving defects of PSO such as trapping in local optimums and early convergence has been done. Moreover to overcome the problem of i...

By using case study method, this research examines the SEUBGI cooperative education model. What is the co-op model and how the model works in BGI are the two research questions. Materials were collected from multiple sources. Results show that the SEU-BGI cooperative education is comprehensive in mission and goals, institutional and structural commitment, learning outcomes, curriculum plan, act...

in recent years, mathematics is an essential aspect of all areas of daily life and the best predictor of being successful in economic situations of society. for many students, the mathematics accompanied with frustration, anxiety and negative attitudes towards mathematics. these students believe their anxiety have been derived from their math teachers, math misconception and weakness in math as...

We present a novel trajectory optimization framework to address the issue of robustness, scalability and efficiency in optimal control and reinforcement learning. Based on prior work in Cooperative Stochastic Differential Game (CSDG) theory, our method performs local trajectory optimization using cooperative controllers. The resulting framework is called Cooperative Game-Differential Dynamic Pr...

The purpose of this study was to investigate the impact of 2 concept map (CM) learning strategies on Iranian EFL learners’ reading comprehension ability and learner autonomy. To this end, 60 Iranian EFL learners at the preintermediate level of language proficiency were randomly assigned to 2 groups. Both groups received an 8-week instruction: one through teacher-constructed and the other throug...

the present study aimed at investigating whether vocabulary-learning strategies had any impact on the vocabulary learning of iranian efl learners. the participants of the study were 67 male and female undergraduate university students, majoring in english translation and english literature at islamic azad university, north tehran branch, who were taking “reading comprehension ii” course. in ord...

This paper argues that combining social networks communication and games can positively influence the learning behavior of players. We propose a computational model that combines features of social network learning (communication) and gamebased learning (strategy reinforcement). The focus is on cooperative games, in which a coalition of players tries to achieve a common goal. We show that enric...

Cooperative learning has been used effectively at the elementary and secondary levels, but it has only recently found its way to the college level. Therefore, in colleges, universities and work places throughout the world, tremendous efforts are underway to move from a lecture-based approach to more active, cooperative learning activities. This study investigates the effect of cooperative learn...

Cooperative decentralized multirobot learning refers to the use of multiple learning entities to learn optimal solutions for an overall multirobot system. We demonstrate that traditional single-robot learning theory can be successfully used with multirobot systems, but only under certain conditions. The success and the effectiveness of single-robot learning algorithms in multirobot systems are ...