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The theoretical analysis of evolutionary algorithms is believed to be very important for understanding their internal search mechanism and thus to develop more efficient algorithms. This paper presents a simple mathematical analysis of the explorative search behavior of a recently developed metaheuristic algorithm called harmony search (HS). HS is a derivative-free real parameter optimization algorithm,...
This paper presents a simple mathematical analysis of some features of the Harmony Search algorithm (HS). HS is a recently developed derivative-free optimization algorithm, which draws inspiration from the musical process of searching for a perfect state of harmony. This work analyses the evolution of the population-variance over successive generations in HS and thereby draws some important conclusions...
This paper presents a heuristic cell-based approach to reduce leakage power in multi-million gate design ASICs in 90 nm/65 nm processes by swapping low-Vt cells with high-Vt cells on less critical timing paths in the design. It uses heuristics to avoid frequent time-consuming full-design timing updates and has significant run-time improvement over currently available approaches. Unlike traditional...
Rolling bearing fault detection approach using wavelet de-noising technique based on optimized wavelet-base function derived from the impulse response of the bearing system is proposed. The wavelet parameters are optimized based on maximization kurtosis criteria to ensure large similarity with the impulse generated by incipient bearing fault. The results show the effectiveness of the proposed wavelet...
A four-segment biomechanical model and a control characterizing the action of the central nervous system (CNS) are used to investigate optimization of the postural stabilization process and the execution of voluntary movement. The point-to-point voluntary movement is optimized using different measures of performance (cost functions) in the time- and frequency domains. In particular kinematic measure...
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