[图书][B] Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems
BJ Kubica - 2019 - Springer
This book contains recent research on interval methods for solving nonlinear constraint
satisfaction, optimization and similar problems. It presents a comprehensive survey of …
satisfaction, optimization and similar problems. It presents a comprehensive survey of …
Constraint propagation using dominance in interval branch & bound for nonlinear biobjective optimization
Constraint propagation has been widely used in nonlinear single-objective optimization
inside interval Branch & Bound algorithms as an efficient way to discard infeasible and non …
inside interval Branch & Bound algorithms as an efficient way to discard infeasible and non …
Bi-objective optimization of dynamic systems by continuation methods
As a proof of concept the properties of path-following methods are studied for multi-objective
optimization problems involving dynamic systems (also called multi-objective dynamic …
optimization problems involving dynamic systems (also called multi-objective dynamic …
A Survey of Interval Algorithms for Solving Multicriteria Analysis Problems
BJ Kubica - International Conference on Parallel Processing and …, 2022 - Springer
This paper surveys the research effort of several authors to solve various multicriteria
problems, using interval methods. These efforts fall naturally into two categories …
problems, using interval methods. These efforts fall naturally into two categories …
Nonlinear biobjective optimization: improvements to interval branch & bound algorithms
I Araya, J Campusano, D Aliquintui - Journal of Global Optimization, 2019 - Springer
Interval based solvers are commonly used for solving single-objective nonlinear
optimization problems. Their reliability and increasing performance make them useful when …
optimization problems. Their reliability and increasing performance make them useful when …
Using quadratic approximations in an interval method for solving underdetermined and well-determined nonlinear systems
BJ Kubica - Parallel Processing and Applied Mathematics: 10th …, 2014 - Springer
This paper considers quadratic approximation as a narrowing tool in an interval branch-and-
prune method. We seek the roots of such an approximate equation–a quadratic equation …
prune method. We seek the roots of such an approximate equation–a quadratic equation …
Rigorous algorithms for nonlinear biobjective optimization
B Martin - 2014 - theses.hal.science
Many problems, such as in engineering design or in location problems, require the
optimization of several conflicting nonlinear objectives subject to nonlinear constraints …
optimization of several conflicting nonlinear objectives subject to nonlinear constraints …
Interval methods for solving various kinds of quantified nonlinear problems
B Jacek Kubica - … Data Processing Techniques: Interval, Fuzzy etc …, 2020 - Springer
The paper surveys the investigations, performed by both the author and other researchers,
on interval branch-and-bound-type methods. It is devoted to considering several theoretical …
on interval branch-and-bound-type methods. It is devoted to considering several theoretical …
Nonlinear biobjective optimization: improving the upper envelope using feasible line segments
I Araya, D Aliquintui, F Ardiles, B Lobo - Journal of Global Optimization, 2021 - Springer
In this work, we propose a segment-based representation for the upper bound of the non-
dominated set in interval branch & bound solvers for biobjective non linear optimization. We …
dominated set in interval branch & bound solvers for biobjective non linear optimization. We …
Branch-and-Bound-Type Methods
BJ Kubica, BJ Kubica - Interval Methods for Solving Nonlinear Constraint …, 2019 - Springer
This chapter presents a generic branch-and-bound-type algorithm, proposed by the author.
It is shown, how this sort of algorithms can be applied to solving general problems …
It is shown, how this sort of algorithms can be applied to solving general problems …