A branch-and-bound algorithm for multiobjective mixed-integer convex optimization

A branch-and-bound algorithm for multiobjective mixed-integer convex optimization / Stefan Rocktäschel.

Saved in:

Bibliographic Details
Main Author:	Rocktäschel, Stefan
Format:	eBook
Language:	English
Published:	Wiesbaden : Springer Spektrum, 2020.
Series:	BestMasters.
Subjects:	Mathematical optimization. Optimización matemática Mathematical optimization
Online Access:	Click for online access

Similar Items

Separable optimization : theory and methods
by: Stefanov, Stefan M.
Published: (2021)

An optimization primer
by: Royset, Johannes O., et al.
Published: (2021)

Introduction to continuous optimization
by: Polyak, Roman A.
Published: (2021)

Lectures on optimal transport
by: Ambrosio, Luigi, et al.
Published: (2021)

Numerical infinities and infinitesimals in optimization
Published: (2022)

A derivative-free two level random search method for unconstrained optimization
by: Andrei, Neculai
Published: (2021)

Multi-composed programming with applications to facility location
by: Wilfer, Oleg
Published: (2020)

Multi-dimensional control optimization problems robust approach
by: Jayswal, Anurag, et al.
Published: (2022)

The projected subgradient algorithm in convex optimization
by: Zaslavski, Alexander J.
Published: (2020)

Modern numerical nonlinear optimization
by: Andrei, Neculai
Published: (2022)

Advancing parametric optimization : on multiparametric linear complementarity problems with parameters in general locations
by: Adelgren, Nathan
Published: (2021)

Controller tuning optimization methods for multi-contraints and nonlinear systems : a metaheuristic approach
by: Blondin, Maude Josée
Published: (2021)

Exact and heuristic methods in combinatorial optimization : a study on the linear ordering and the maximum diversity problem
by: Martí, Rafael (Rafael Cunquero), et al.
Published: (2022)

High-dimensional optimization and probability : with a view towards data science
Published: (2022)

Optimal control problems related to the Robinson-Solow-Srinivasan model
by: Zaslavski, Alexander J.
Published: (2021)

Maximum-entropy sampling : algorithms and application
by: Fampa, Marcia, et al.
Published: (2022)

Optimization, variational analysis and applications : IFSOVAA-2020, Varanasi, India, February 2-4
Published: (2021)

Optimization and data science : trends and applications : 5th AIROYoung Workshop and AIRO PhD School 2021 joint event
Published: (2021)

Optimization in Banach spaces
by: Zaslavski, Alexander J.
Published: (2022)

Turnpike phenomenon and symmetric optimization problems
by: Zaslavski, Alexander J.
Published: (2022)

Variational and monotonicity methods in nonsmooth analysis
by: Costea, Nicuşor, et al.
Published: (2021)

Stochastic linear-quadratic optimal control theory : differential games and mean-field problems
by: Sun, Jingrui, et al.
Published: (2020)

Optimal control problems arising in mathematical economics
by: Zaslavski, Alexander J.
Published: (2022)

Optimization and decision science : ODS, virtual conference, November 19, 2020
Published: (2021)

Optimization in artificial intelligence and data sciences : ODS, first hybrid conference, Rome, Italy, September 14-17, 2021
Published: (2022)

Dynamic control and optimization : DCO 2021, Aveiro, Portugal, February 3-5, selected, revised contributions
Published: (2023)

Deterministic global optimization : an introduction to the diagonal approach
by: Sergeyev, Yaroslav D., 1963-, et al.
Published: (2017)

Elements of the general theory of optimal algorithms
by: Sergienko, Ivan Vasilʹevich
Published: (2021)

Bilevel optimization : advances and next challenges
Published: (2020)

Convex Relaxations for Mixed-Integer Nonlinear Programs.
by: Ballerstein, Martin
Published: (2013)

Optimal Control
by: Ashchepkov, Leonid T., et al.
Published: (2021)

Stochastic global optimization
by: Zhigli︠a︡vskiĭ, A. A. (Anatoliĭ Aleksandrovich), et al.
Published: (2008)

Algorithm portfolios : advances, applications, and challenges
by: Souravlias, Dimitris, et al.
Published: (2021)

Optimization on solution sets of common fixed point problems
by: Zaslavski, Alexander J.
Published: (2021)

Nonlinear Systems : Analysis, Stability, and Control
by: Sastry, Shankar
Published: (1999)

Introduction to combinatorial optimization
by: Du, Dingzhu
Published: (2022)

Bayesian and high-dimensional global optimization
by: Zhigli︠a︡vskiĭ, A. A. (Anatoliĭ Aleksandrovich)
Published: (2021)

Optimization and applications : 11th international conference, OPTIMA 2020, Moscow, Russia, September 28 - October 2, 2020, Proceedings
Published: (2020)

Mathematical modelling, optimization, analytic and numerical solutions
Published: (2020)

Soft somputing and optimization : SCOTA 2021, Ranchi, India, March 26-27
Published: (2023)