This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to evo...
—In this paper we examine a technique by which fault tolerance can be embedded into a feedforward network leading to a network tolerant to the loss of a node and its associated w...
Optimization is a powerful paradigm for expressing and solving problems in a wide range of areas, and has been successfully applied to many vision problems. Discrete optimization ...
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
: This paper describes a new methodology for using genetic programming to solve the missile countermeasures optimization problem. The resulting system evolves programs that combine...