— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...
This paper describes an innovative framework, iFAOSimo, which integrates optimization, simulation and GIS (geographic information system) techniques to handle complex spatial faci...
Abstract— The design of efficient and scalable streaming Content Distribution Networks (CDNs) is an open problem of great economic interest. A key decision is the number of repl...
Sandjai Bhulai, Robert D. van der Mei, Mengxiao Wu
The problem of online sampling of data, can be seen as a generalization of the classical secretary problem. The goal is to maximize the probability of picking the k highest scorin...
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...