— In this paper, we propose a novel, energy aware scheduling algorithm for applications running on DVS-enabled multiprocessor systems, which exploits variation in execution times...
Word-of-mouth communication has been shown to play a key role in a variety of environments such as viral marketing and virus spreading. A family of algorithms, generally known as ...
Abstract— This paper proposes an multi-objective evolutionary algorithm. The algorithm is based on OMOEA-II[2]. A new linear breeding operator with lower-dimensional crossover an...
Song Gao, Sanyou Y. Zeng, Bo Xiao, Lei Zhang, Yulo...
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
— This paper presents Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective Optimization algorithm (DECMOSA-SQP), which uses the self-adapta...
Ales Zamuda, Janez Brest, Borko Boskovic, Viljem Z...
Abstract— Designing efficient algorithms for difficult multiobjective optimization problems is a very challenging problem. In this paper a new clustering multi-objective evolut...
Reference counting is a widely-used resource management idiom which maintains a count of references to each resource by incrementing the count upon an acquisition, and decrementing...
Michael Emmi, Ranjit Jhala, Eddie Kohler, Rupak Ma...
Abstract. We study the management of buffers and storages in environments with unpredictably varying prices in a competitive analysis. In the economical caching problem, there is ...
Abstract. We present approximation algorithms for almost all variants of the multicriteria traveling salesman problem (TSP), whose performances are independent of the number k of c...
One important problem proposed recently in the field of web mining is website classification problem. The complexity together with the necessity to have accurate and fast algorit...