We propose a general methodology for approximating the Pareto front of multi-criteria optimization problems. Our search-based methodology consists of submitting queries to a constr...
Julien Legriel, Colas Le Guernic, Scott Cotton, Od...
This paper introduces the Dynamic Mesh Optimization meta-heuristic, which falls under the evolutionary computation techniques. Moreover, we outline its application to the feature s...
Abstract--In this paper, the results for the CEC 2010 Competition and Special Session on Constrained Real-Parameter Optimization using the multiobjective differential evolution alg...
We develop a methodology for evaluating a decision strategy generated by a stochastic optimization model. The methodology is based on a pilot study in which we estimate the distri...
Robert Rush, John M. Mulvey, John E. Mitchell, Tho...
—Training sequences for data-aided timing estimation in multi-input multi-output systems are designed. It is observed that for low complexity implementation, the sequences must n...