This paper proposes a new mating scheme for evolutionary multiobjective optimization (EMO), which simultaneously improves the convergence speed to the Pareto-front and the diversit...
This paper presents a modification of the particle swarm optimization algorithm (PSO) intended to combat the problem of premature convergence observed in many applications of PSO. ...
Niching schemes, which sustain population diversity and let an evolutionary population avoid premature convergence, have been extensively studied in the research field of evoluti...
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
We propose a flow-control scheme for multicast ABR services in ATM networks. At the heart of the proposed scheme is an optimal secondorder rate control algorithm, called the -contr...
Xi Zhang, Kang G. Shin, Debanjan Saha, Dilip D. Ka...