Numerical design optimization algorithms are highly sensitive to the particular formulation of the optimization problems they are given. The formulation of the search space, the o...
Thomas Ellman, John Keane, Takahiro Murata, Mark S...
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and ...
Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D...
Discrete optimization problemsarise throughout many real world domainsincluding planning, decision making, and search. NP-hardin general, these problems require novel approachesto...
The interactive decision making (IDM) methods exploit the preference information from the decision maker during the optimization task to guide the search towards favourite solution...