We present, analyze and benchmark two algorithms for simultaneous coalition structure generation assignment: one based entirely on dynamic programming, anytime hybrid approach that uses branch-and-bound together with programming. To evaluate the algorithms’ performance, we them against both CPLEX (an industry-grade solver) state-of-the-art using difficult randomized data sets of varying distrib...

Wireless sensor networks are formed by a collection of tiny battery-powered sensors. Clustering has been proven to be one the most efficient methods lengthen lifetime wireless networks. However, there is room for improvement in how existing techniques select cluster heads. In this study, we propose Linear Programming based Cluster Head Selection (LPCHS) method that aims optimize energy consumpt...

A new retrofit targeting procedure, based on pinch technology has been developed. The new procedure considers existing structure of a given network and finds the most compatible configuration with the network. To achieve this aim, the procedure uses a linear programming technique that maximize the compatibility. Good compatibility between old and new networks helps to make the best use of c...

ABSTRACT- This study aims to model optimal cultivation pattern based on the maximization of importing virtual water and social net income of major crops in Marvdasht, Iran. For this purpose, a linear programming model was developed considering constraints of virtual water and land limitations followed by other models to include employment restrictions. Based on the findings, wheat and tomato we...

Dynamic programming is a class of algorithms used to compute optimal control policies for Markov decision processes. ubiquitous in theory, and also the foundation reinforcement learning. In this paper, we show that value improvement, one main steps dynamic programming, can be naturally seen as composition category optics, intuitively, function limit chain optic compositions. We illustrate with ...

Project-based learning (PjBL) is a promising approach for supporting learning of computer programming by addressing the gap between the attainment of abstract knowledge and the application of this knowledge to authentic programming tasks. The World Wide Web has considerable potential to expand and improve PjBL environments. However, making implicit aspects of a programming task accessible to le...

BACKGROUND Deep brain stimulation (DBS) of the subthalamic nucleus is an effective treatment for advanced Parkinson disease (PD). However, achieving ideal outcomes by conventional programming can be difficult in some patients, resulting in suboptimal control of PD symptoms and stimulation-induced adverse effects. Interleaving stimulation (ILS) is a newer programming technique that can individua...