By balancing the spacing effect against the effects of recency and frequency, this paper explains how practice may be scheduled to maximize learning and retention. In an experiment, an optimized condition using an algorithm determined with this method was compared with other conditions. The optimized condition showed significant benefits with large effect sizes for both improved recall and reca...

This paper presents the application of reinforcement learning in automatic analog IC design. In this work, the Multi-Objective approach by Learning Automata is evaluated for accommodating required functionalities and performance specifications considering optimal minimizing of MOSFETs area and power consumption for two famous CMOS op-amps. The results show the ability of the proposed method to ...

A universal formula for computing inter-repetition intervals in paired-associate learning has been determined for the knowledge retention level of 95%. It is claimed that the formula could be used in the practice of learning for a wide range of subjects, regardless individual learner's capacity.

As the VLSI feature size has already decreased below lithographic wavelength, the printability problem due to strong diffraction effects poses a serious threat to the progress of VLSI technology. A circuit layout with poor printability implies that it is difficult to make the printed features on wafers follow designed shapes without distortions. The development of Resolution Enhancement Techniq...

Linear antenna array design is one of the most important electromagnetic optimization problems of current interest . In the antenna arrays the side lobe level is main problem which causes wastage of energy. This paper describes the application of a recently developed metaheuristic algorithm ,known as the Particle Swarm Optimization Gravitational Search Algorithm(PSOGSA) to optimize the spacing ...

Flexible optical network is a promising technology to accommodate high-capacity demands in next-generation networks. To ensure uninterrupted communication, existing lightpath provisioning schemes are mainly done with the assumption of worst-case resource under-provisioning and fixed channel spacing, which preserves an excessive signal-to-noise ratio (SNR) margin. However, under over-provisionin...

oil production optimization is one of the main targets of reservoir management. smart well technology gives the ability of real time oil production optimization. although this technology has many advantages; optimum adjustment or sizing of corresponding valves is still an issue to be solved. in this research, optimum port sizing of inflow control devices (icds) which are passive control valves ...

Particle swarm optimization technique is a soft computing approach and has many Engineering applications. In this paper the optimization technique viz., Particle swarm optimization is used to calculate separation between antennas. Space diversity method is based upon the principle of using two or more antennas in order to receive uncorrelated radio signal. By doing this, there is a possibility ...