CEC
2007
IEEE
13 years 4 months ago
2007
IEEE
CEC
2007
IEEE
13 years 4 months ago
2007
IEEE
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
CEC
2007
IEEE
13 years 4 months ago
2007
IEEE
— The computation of periodic orbits of nonlinear mappings is very important for studying and better understanding the dynamics of complex systems. Evolutionary algorithms have s...
CEC
2007
IEEE
13 years 6 months ago
2007
IEEE
— Cultured natural cortical neurons form functional networks through a complex set of developmental steps during the first weeks in vitro. The dynamic behavior of the network in...
CEC
2007
IEEE
2007
IEEE
Flexibility of design variables to pareto-optimal solutions in multi objective optimization problems
13 years 6 months ago
Abstract— In this paper, we propose the concept of the flexibility of design variables to Pareto-optimal solutions in MultiObjective Optimization problems. In addition, we intro...
CEC
2007
IEEE
13 years 6 months ago
2007
IEEE
— Efficient discovery of lowest level building blocks is a fundamental requirement for a successful genetic algorithm. Although considerable effort has been directed at techniqu...
CEC
2007
IEEE
13 years 6 months ago
2007
IEEE
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
CEC
2007
IEEE
13 years 6 months ago
2007
IEEE
CEC
2007
IEEE
13 years 6 months ago
2007
IEEE
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
CEC
2007
IEEE
13 years 6 months ago
2007
IEEE
Abstract—The high-level synthesis process allows the automatic design and implementation of digital circuits starting from a behavioral description. Evolutionary algorithms are v...