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This paper addresses the Vehicle Routing Problem with Delivery Time Cost. This problem aims to find a set of routes of minimal total costs including the travelling cost and delivery time cost, starting and ending at the depot, in such a way that each customer is visited by one vehicle given the capacity of the vehicle to satisfy a specific demand. In this research, a hybrid metaheuristic approach based on Electromagnetism and simulated annealing algorithms is proposed. The purpose of such a combination is to have the benefits of both algorithms. Simulated Annealing (SA) algorithm is powerful in escaping from local optimums. On the other hand, Electromagnetism (EM) algorithm generates wide varieties of solution populations. The computational results of some instances are reported and then these results are compared with the lower bound of problem. The results demonstrate the effectiveness of the metaheuristic algorithm in solving this model.

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Corporate entrepreneurship is a growing field of study that has been gaining ground in recent decades. Entrepreneurship exists in large and stable organizations and small and medium enterprises. Therefore, entrepreneurial business form include entrepreneurial practices in organizations, profit-making practices, and opportunity recognition. Also, entrepreneurship encourages competition in the environment these days, leading to the effects of globalization. Innovation is also important in a way that the global economy seeks to maintain and improve its competitive advantage. Both entrepreneurs and innovators introduce new inventions and innovations to productive activities. Hence, innovation in business is important; because the global economy is looking to escape from a period of economic downturn. Accordingly, innovation is the closest business activity to economic growth. Since, entrepreneurship contributes to the quality and hopes of a sector, economy, or even a country, and in the other hand, it plays a critical role in creating value in creating wealth and jobs. Hence, in this paper, we concentrate on study entrepreneurship and innovation with innovative, advanced knowledge and insights.