Railway scheduling is a complex task of rail operators that involves the generation of a conflict-free train timetable. This paper presents a discrete-event simulation-based optimization approach for solving the train timetabling problem to minimize total weighted unplanned stop time in a hybrid single and double track railway networks. The designed simulation model is used as a platform for ge...

In the last few years, the remarkable increase of containerized trade and the resulting increase in congestion and operating costs of container terminals have indicated the importance of integrated management of port resources. This research investigates an integrated decision problem that deals with the simultaneous optimization of berth allocation, tugboat and quay crane assignment. The main ...

Finding an optimal path for a robot in a soccer field involves different parameters such as the positions of the robot, positions of the obstacles, etc. Due to simplicity and smoothness of Ferguson Spline, it has been employed for path planning between arbitrary points on the field in many research teams. In order to optimize the parameters of Ferguson Spline some evolutionary or intelligent al...

Experimentalist forms of governance have burgeoned across policy areas and institutional contexts in recent years. Recognizing that experimentalist can evolve along a plethora distinct pathways, this paper inquires how the evolutionary nature experimentalism be explored greater depth. Linking framework to Evolutionary Governance Theory (EGT), identifies three driving mechanisms contingency expe...

In Life Sciences, taxonomy refers to a standard nomenclature and classification system for living organisms. In early days, organisms were clustered together mainly based on shared morphological characteristics. Nowadays, evolutionary patterns linking organisms have become more relevant when classifying organisms. Applications and tools serving taxonomical data aim to facilitate navigation. Her...

finding an optimal path for a robot in a soccer field involves different parameters such as the positions of the robot, positions of the obstacles, etc. due to simplicity and smoothness of ferguson spline, it has been employed for path planning between arbitrary points on the field in many research teams. in order to optimize the parameters of ferguson spline some evolutionary or intelligent al...

Abstract Connecting to rule-makers in order to set favorable rules (lobbying) or paying government executives to bend the current rule (bribing) are the two main strategies for influencing government. This study in an evolutionary game model explain why bribing may become widespread while other states like compliance and cooperative lobbying are Pareto superior. The theoretical model is used ...