Delay minimization and power minimization are two important objectives in the design of the high-performance, portable, and wireless computing and communication systems. Retiming is a very effective way for delay optimization for sequential circuits. In this paper we propose a unified framework for multi-level partitioning and floorplanning with retiming, targeting simultaneous delay and power ...

In this paper a Mixed Integer Dynamic Optimization (MIDO) framework is exploited for combined Unit Commitment and Economic Load Scheduling (UCELS) optimization of power plants. Economic load scheduling optimization problem is formulated as a Dynamic Optimization (DO) problem that allows us to optimize the plant operations by taking into account the time varying dynamics. Dynamic optimization pr...

Low power is a primary concern in the field of wireless sensor networks. Bluetooth has often been labeled as an inappropriate technology in this field due to its high power consumption. However, most Bluetooth studies employ rather over–simplified, fully theoretical, or inadequate power models. We present a power model of Bluetooth including scatternet configurations and low–power sniff mode an...

Node cooperation can protect wireless networks from eavesdropping by using the physical characteristics of wireless channels rather than cryptographic methods. Allocating the proper amount of power to cooperative nodes is a challenging task. In this paper, we use three cooperative nodes, one as relay to increase throughput at the destination and two friendly jammers to degrade eavesdropper&rsqu...

Plug-in Hybrid Electric Vehicles (PHEV) technology shows great interest in the recent scientificliteratures. Vehicle-to-grid (V2G) is a interconnection of energy storage of PHEVs and grid. Byimplementation of V2G dependencies of the power system on small expensive conventional units canbe reduced, resulting in reduced operational cost. This paper represents an intelligent unitcommitment (UC) wi...

In this paper, we propose an efficient approach to design optimization of analog circuits that is based on the reinforcement learning method. In this work, Multi-Objective Learning Automata (MOLA) is used to design a two-stage CMOS operational amplifier (op-amp) in 0.25μm technology. The aim is optimizing power consumption and area so as to achieve minimum Total Optimality Index (TOI), as a new...