This paper proposes a novel adaptive representation for evolutionary multiobjective optimization for solving a stock modeling problem. The standard Pareto Achieved Evolution Strat...
Mihai Oltean, Crina Grosan, Ajith Abraham, Mario K...
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...
Parallel Global Optimization Algorithms (PGOA) provide an efficient way of dealing with hard optimization problems. One method of parallelization of GOAs that is frequently applie...
A mathematical formula containing one or more free variables is "general" in the sense that it provides a solution to an entire category of problems. For example, the fa...
John R. Koza, Jessen Yu, Martin A. Keane, William ...
In this paper, we propose an optimal unequal error protection scheme for object-based video communications over differentiated services networks. Our goal is to achieve the best v...
Haohong Wang, Fan Zhai, Yiftach Eisenberg, Aggelos...