Abstract: We propose an effective algorithm for power optimization in behavioral synthesis. In previous work, it has been shown that several hardware allocation/binding problems fo...
In recent years the genetic algorithm community has shown a growing interest in studying dynamic optimization problems. Several approaches have been devised. The random immigrants...
This paper presents a multi-objective algorithm for on-line adaptation of a multi-carrier code-division multiple access (MC-CDMA) receiver. A specially tailored Genetic Algorithm ...
The deregulated electricity market calls for robust OPF tools that can provide (a) deterministic convergence, (b) accurate computation of a variety of nodal prices, (c) support of...
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...