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PRELIMINARY
CONTRIBUTED ORAL PAPERS
Sufficient conditions for pseudoconvexity by using linear interval parametric techniques
AIP Conf. Proc. 2070, 020001 (2019)
https://doi.org/10.1063/1.5089968
Weighted ensembles in model-based global optimization
AIP Conf. Proc. 2070, 020003 (2019)
https://doi.org/10.1063/1.5089970
Improving (1+1) covariance matrix adaptation evolution strategy: A simple yet efficient approach
AIP Conf. Proc. 2070, 020004 (2019)
https://doi.org/10.1063/1.5089971
A flexible generator of constrained global optimization test problems
AIP Conf. Proc. 2070, 020009 (2019)
https://doi.org/10.1063/1.5089976
Sequential model based optimization with black-box constraints: Feasibility determination via machine learning
AIP Conf. Proc. 2070, 020010 (2019)
https://doi.org/10.1063/1.5089977
Ill-conditioning provoked by scaling in univariate global optimization and its handling on the infinity computer
AIP Conf. Proc. 2070, 020011 (2019)
https://doi.org/10.1063/1.5089978
Integration of polyhedral outer approximation algorithms with MIP solvers through callbacks and lazy constraints
AIP Conf. Proc. 2070, 020012 (2019)
https://doi.org/10.1063/1.5089979
A lightweight heliostat field post-optimizer
AIP Conf. Proc. 2070, 020013 (2019)
https://doi.org/10.1063/1.5089980
A stochastic coordinate descent for bound constrained global optimization
AIP Conf. Proc. 2070, 020014 (2019)
https://doi.org/10.1063/1.5089981
Nonconvex optimization: From global optimality conditions to numerical methods
AIP Conf. Proc. 2070, 020015 (2019)
https://doi.org/10.1063/1.5089982
Predicting the spread of epidemiological diseases by using a multi-objective algorithm
AIP Conf. Proc. 2070, 020016 (2019)
https://doi.org/10.1063/1.5089983
Decomposition-based successive approximation methods for global optimization
AIP Conf. Proc. 2070, 020018 (2019)
https://doi.org/10.1063/1.5089985
Multi-objective evolutionary algorithm for evaluation of shape and electrostatic similarity
AIP Conf. Proc. 2070, 020019 (2019)
https://doi.org/10.1063/1.5089986
Including the derivative information into statistical models used in global optimization
AIP Conf. Proc. 2070, 020020 (2019)
https://doi.org/10.1063/1.5089987
Multi-objective global optimization for interplanetary space trajectory design
AIP Conf. Proc. 2070, 020021 (2019)
https://doi.org/10.1063/1.5089988
Improved versions of the GLOBAL optimization algorithm and the globalJ modularized toolbox
AIP Conf. Proc. 2070, 020022 (2019)
https://doi.org/10.1063/1.5089989
Covering a square with six circles by deterministic global optimization
AIP Conf. Proc. 2070, 020024 (2019)
https://doi.org/10.1063/1.5089991
On the application of Danskin’s theorem to derivative-free minimax problems
AIP Conf. Proc. 2070, 020026 (2019)
https://doi.org/10.1063/1.5089993
AbsTaylor: Finding inner regions for nonlinear constraint systems with linearizations and absolute values
AIP Conf. Proc. 2070, 020027 (2019)
https://doi.org/10.1063/1.5089994
Using a B&B algorithm from multiobjective optimization to solve constrained optimization problems
AIP Conf. Proc. 2070, 020028 (2019)
https://doi.org/10.1063/1.5089995
Ranking-based algorithm for facility location with constraints
AIP Conf. Proc. 2070, 020030 (2019)
https://doi.org/10.1063/1.5089997
An interval branch and bound algorithm for parameter estimation and application to stereovision
AIP Conf. Proc. 2070, 020032 (2019)
https://doi.org/10.1063/1.5089999
A two-phase approach in a global optimization algorithm using multiple estimates of hölder constants
AIP Conf. Proc. 2070, 020033 (2019)
https://doi.org/10.1063/1.5090000
Convex hull formulations for mixed-integer multilinear functions
AIP Conf. Proc. 2070, 020037 (2019)
https://doi.org/10.1063/1.5090004
Lower and upper bounds for the general multiobjective optimization problem
AIP Conf. Proc. 2070, 020038 (2019)
https://doi.org/10.1063/1.5090005
Multi-objective mixed integer programming: An objective space algorithm
AIP Conf. Proc. 2070, 020039 (2019)
https://doi.org/10.1063/1.5090006
Nonlinear bi-objective optimization: Improving the upper envelope using feasible line segments
AIP Conf. Proc. 2070, 020040 (2019)
https://doi.org/10.1063/1.5090007
Convex optimization for matrix completion with application to forecasting
AIP Conf. Proc. 2070, 020042 (2019)
https://doi.org/10.1063/1.5090009
Selection of a covariance kernel for a Gaussian random field aimed for modeling global optimization problems
AIP Conf. Proc. 2070, 020043 (2019)
https://doi.org/10.1063/1.5090010
Towards single- and multiobjective Bayesian global optimization for mixed integer problems
AIP Conf. Proc. 2070, 020044 (2019)
https://doi.org/10.1063/1.5090011
Joint scheduling of production and transport with alternative job routing in flexible manufacturing systems
AIP Conf. Proc. 2070, 020045 (2019)
https://doi.org/10.1063/1.5090012
Towards multi-objective mixed integer evolution strategies
AIP Conf. Proc. 2070, 020046 (2019)
https://doi.org/10.1063/1.5090013
Combining local surrogates and adaptive restarts for global optimization of moderately expensive functions
AIP Conf. Proc. 2070, 020048 (2019)
https://doi.org/10.1063/1.5090015
A model of anytime algorithm performance for biobjective optimization problems
AIP Conf. Proc. 2070, 020049 (2019)
https://doi.org/10.1063/1.5090016
Reliable bounds for convex relaxation in interval global optimization codes
AIP Conf. Proc. 2070, 020050 (2019)
https://doi.org/10.1063/1.5090017
Univariate global optimization with point-dependent Lipschitz constants
AIP Conf. Proc. 2070, 020051 (2019)
https://doi.org/10.1063/1.5090018
The R2 indicator: A study of its expected improvement in case of two objectives
AIP Conf. Proc. 2070, 020054 (2019)
https://doi.org/10.1063/1.5090021
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
Inkjet- and flextrail-printing of silicon polymer-based inks for local passivating contacts
Zohreh Kiaee, Andreas Lösel, et al.
Production and characterization of corncob biochar for agricultural use
Praphatsorn Rattanaphaiboon, Nigran Homdoung, et al.