NEO 2016 : results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico

Description

This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO 2016) workshop held in September 2016 in Tlalnepantla, Mexico. The development of powerful search and optimization techniques is of great importance in today’s world and requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others. The goal of the NEO workshop series is to bring together experts from these and related fields to discuss, compare and merge their complementary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. In doing so, NEO promotes the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging fields that affect all of us, such as healthcare, smart cities, big data, among many others. The extended papers presented in the book contribute to achieving this goal. Front Matter ....Pages i-xiii Front Matter ....Pages 1-1 Defensive Driving Strategy and Control for Autonomous Ground Vehicle in Mixed Traffic (Xiang Li, Jian-Qiao Sun)....Pages 3-44 Augmenting the LSA Technique to Evaluate Ubicomp Environments (Víctor R. López-López, Lizbeth Escobedo, Leonardo Trujillo, Victor H. Díaz-Ramírez)....Pages 45-64 Mixed Integer Programming Formulation for the Energy-Efficient Train Timetables Problem (Rodrigo Alexander Castro Campos, Sergio Luis Pérez Pérez, Gualberto Vazquez Casas, Francisco Javier Zaragoza Martínez)....Pages 65-86 Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview (P. J. Escamilla-Ambrosio, A. Rodríguez-Mota, E. Aguirre-Anaya, R. Acosta-Bermejo, M. Salinas-Rosales)....Pages 87-115 Front Matter ....Pages 117-117 Integer Programming Models and Heuristics for Non-crossing Euclidean 3-Matchings (Rodrigo Alexander Castro Campos, Marco Antonio Heredia Velasco, Gualberto Vazquez Casas, Francisco Javier Zaragoza Martínez)....Pages 119-139 A Multi-objective Robust Ellipse Fitting Algorithm (Heriberto Cruz Hernández, Luis Gerardo de la Fraga)....Pages 141-158 Gradient-Based Multiobjective Optimization with Uncertainties (Sebastian Peitz, Michael Dellnitz)....Pages 159-182 A New Local Search Heuristic for the Multidimensional Assignment Problem (Sergio Luis Pérez Pérez, Carlos E. Valencia, Francisco Javier Zaragoza Martínez)....Pages 183-202 Front Matter ....Pages 203-203 A Multi-objective and Multidisciplinary Optimisation Algorithm for Microelectromechanical Systems (Michael Farnsworth, Ashutosh Tiwari, Meiling Zhu, Elhadj Benkhelifa)....Pages 205-238 Coefficients Estimation of MPM Through LSE, ORLS and SLS for RF-PA Modeling and DPD (E. Allende-Chávez, S. A. Juárez-Cázares, J. R. Cárdenas-Valdez, Y. Sandoval-Ibarra, J. A. Galaviz-Aguilar, Leonardo Trujillo et al.)....Pages 239-262 Optimal Sizing of Amplifiers by Evolutionary Algorithms with Integer Encoding and \(g_m/I_D\) Design Method (Adriana C. Sanabria-Borbón, Esteban Tlelo-Cuautle, Luis Gerardo de la Fraga)....Pages 263-279 Back Matter ....Pages 281-282