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...
— This paper presents Natural Evolution Strategies (NES), a novel algorithm for performing real-valued ‘black box’ function optimization: optimizing an unknown objective func...
This paper introduces a dynamic layout optimization strategy to minimize the number of cycles spent in memory accesses in a cache-based memory environment. In this approach, a giv...
N. E. Crosbie, Mahmut T. Kandemir, Ibrahim Kolcu, ...
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Abstract. In this paper, we present a game theoretic account of a subclass of ‘relevance’ implicatures arising from irrelevant answers. We show that these phenomena can be expl...