Journal: Optimization Letters

Found 309 papers in total
Sufficient efficiency criteria in multiobjective fractional programming with generalized (ℱ,φ,ρ,θ)-univex n-set functions
Sufficient efficiency criteria in multiobjective fractional programming with generalized (ℱ,φ,ρ,θ)-univex n-set functions
2017,
We consider some types of generalized convexity and discuss new global semiparametric...
A general variable neighborhood search variants for the travelling salesman problem with draft limits
A general variable neighborhood search variants for the travelling salesman problem with draft limits
2017,
In this paper, we present two general variable neighborhood search (GVNS) based...
Symmetry properties of resolving sets and metric bases in hypercubes
Symmetry properties of resolving sets and metric bases in hypercubes
2017,
In this paper we consider some special characteristics of distances between vertices...
General Variable Neighborhood Search for computing graph separators
General Variable Neighborhood Search for computing graph separators
2017,
Computing graph separators in networks has a wide range of real‐world...
New MIP model for multiprocessor scheduling problem with communication delays
New MIP model for multiprocessor scheduling problem with communication delays
2017,
In this paper we consider scheduling tasks on a multiprocessor system, taking into...
A general variable neighborhood search for solving the uncapacitated r-allocation p-hub median problem
A general variable neighborhood search for solving the uncapacitated r-allocation p-hub median problem
2017,
The p ‐hub median problem consists of choosing p hub locations from a set of...
Solving the clique partitioning problem as a maximally diverse grouping problem
Solving the clique partitioning problem as a maximally diverse grouping problem
2017,
In this paper we show that the clique partitioning problem can be reformulated in an...
A metaheuristic approach to solving a multiproduct EOQ-based inventory problem with storage space constraints
A metaheuristic approach to solving a multiproduct EOQ-based inventory problem with storage space constraints
2017,
This paper considers the well‐known static time‐continuous multiproduct...
A metaheuristic approach to the dominating tree problem
A metaheuristic approach to the dominating tree problem
2017,
This paper considers a recently introduced NP‐hard problem on graphs, called...
Solving the robust two-stage capacitated facility location problem with uncertain transportation costs
Solving the robust two-stage capacitated facility location problem with uncertain transportation costs
2017,
In this study, we start from a multi‐source variant of the two‐stage...
An approximation algorithm for the nth power metric facility location problem with linear penalties
An approximation algorithm for the nth power metric facility location problem with linear penalties
2017,
We consider the n th power metric facility location problem with linear penalties (M n...
Real options approach to explore the effect of organizational change on IoT development project
Real options approach to explore the effect of organizational change on IoT development project
2017,
The emerging information technology of internet of things (IoT) has caught much...
Stochastic subgradient descent method for large-scale robust chance-constrained support vector machines
Stochastic subgradient descent method for large-scale robust chance-constrained support vector machines
2017,
Robust chance‐constrained Support Vector Machines (SVM) with...
ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems
ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems
2017,
The algorithmic framework ARGONAUT is presented for the global optimization of general...
Constraint relaxation, cost-sensitive learning and bagging for imbalanced classification problems with outliers
Constraint relaxation, cost-sensitive learning and bagging for imbalanced classification problems with outliers
2017,
Supervised learning consists in developing models able to distinguish data that belong...
Locating facilities in a competitive environment
Locating facilities in a competitive environment
2017,
The research work dealing with the bi‐level formulation of location problems is...
A nonmonotone inexact Newton method for unconstrained optimization
A nonmonotone inexact Newton method for unconstrained optimization
2017,
It is well known that the Newton method has a second order rate of convergence and...
Linear transformation based solution methods for non-convex mixed integer quadratic programs
Linear transformation based solution methods for non-convex mixed integer quadratic programs
2017,
Two preprocessing techniques for mixed integer quadratic programs with...
Improved online algorithms for the batch scheduling of equal-length jobs with incompatible families to maximize the weighted number of early jobs
Improved online algorithms for the batch scheduling of equal-length jobs with incompatible families to maximize the weighted number of early jobs
2014,
We consider the online scheduling of equal‐length jobs with incompatible...
A comparison of routing sets for robust network design
A comparison of routing sets for robust network design
2014,
Designing a network able to route a set of non‐simultaneous demand vectors is...
A note on the trace quotient problem
A note on the trace quotient problem
2014,
The trace quotient problem or the trace ratio problem (TRP) is to find an orthogonal...
Continuity and stability of fully random two-stage stochastic programs with mixed-integer recourse
Continuity and stability of fully random two-stage stochastic programs with mixed-integer recourse
2014,
In order to derive continuity and stability of two‐stage stochastic programs...
Gap functions and error bounds for generalized vector variational inequalities
Gap functions and error bounds for generalized vector variational inequalities
2014,
This paper deals with generalized vector variational inequalities. Without any...
A variance-based method to rank input variables of the Mesh Adaptive Direct Search algorithm
A variance-based method to rank input variables of the Mesh Adaptive Direct Search algorithm
2014,
The Mesh Adaptive Direct Search algorithm ( Mads ) algorithm is designed for nonsmooth...
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