—As the application and complexity of microelectromechanical (MEMS) devices increases, there is a corresponding need for automated design and optimization tools to augment engine...
Jason D. Lohn, William F. Kraus, Gregory S. Hornby
— We present an ant-based algorithm for spatially sorting objects into an annular structure. The model is minimal, as it requires only stochastic ant behaviour coupled with a phe...
Abstract— In spite of large amount of research work in multiobjective evolutionary algorithms, most have evaluated their algorithms on problems with only two to four objectives. ...
— This paper presents a simple and generic indicator-based multi-objective local search. This algorithm is a direct extension of the IBEA algorithm, an indicatorbased evolutionar...
— We present an ant model that solves a discrete foraging problem. We describe simulations and provide a complete convergence analysis: we show that the ant population computes t...
— Over the past 50 years, much attention has been given to the Prisoner’s Dilemma as a metaphor for problems surrounding the evolution and maintenance of cooperative and altrui...
— Estimation of Distribution Algorithm (EDA) is a well-known stochastic optimization technique. The average time complexity is a crucial criterion that measures the performance o...
Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...
Abstract— Fingerprinting is a technique that permits automatic classification of strategies for playing a game. In this study the evolution of strategies for playing the iterate...