In this paper, we propose a homotopy continuous method (HCM) for solving a weak efficient solution of multiobjective optimization problem (MOP) with feasible set unbounded condition, which is arising in Economical Distributions, En-gineering Decisions, Resource Allocations and other field of mathematical economics and engineering problems. Under the suitable assumption, it is proved to globally converge to a weak efficient solution of (MOP), if its x-branch has no weak infinite solution
The content of this work is a presentation of algorithms solving optimization problems with a max-se...
In this paper we derive new sufficient conditions for global weak Pareto solutions to set-valued opt...
The Pareto optimal set of a continuous multi-objective optimization problem is a piecewise continuou...
Probability-one homotopy methods are a class of algorithms for solving nonlinear systems of equation...
An original approach to global optimization of continuous models is introduced. It belongs to the cl...
We present our view of the state of the art in continuous multiobjective programming. After an intro...
We define a new method for global optimization, the Homotopy Optimization Method (HOM). This method ...
International audienceWe present a method for generating the set of weakly efficient solutions of a ...
The basic theory for probability one globally convergent homotopy algorithms was developed in 1976, ...
Probability-one homotopy methods are a class of algorithms for solving nonlinear systems of equation...
AbstractUsing the theory of abstract optimization problems in infinite-dimensional spaces we provide...
In the paper, the aggregate constraint-shifting homotopy method for solving general nonconvex nonlin...
AbstractIn this paper, a constraint shifting combined homotopy method for solving multi-objective pr...
Using the theory of abstract optimization problems in infinite-dimensional spaces we provide necessa...
In this article, a new framework for evolutionary algorithms for approximating the efficient set of ...
The content of this work is a presentation of algorithms solving optimization problems with a max-se...
In this paper we derive new sufficient conditions for global weak Pareto solutions to set-valued opt...
The Pareto optimal set of a continuous multi-objective optimization problem is a piecewise continuou...
Probability-one homotopy methods are a class of algorithms for solving nonlinear systems of equation...
An original approach to global optimization of continuous models is introduced. It belongs to the cl...
We present our view of the state of the art in continuous multiobjective programming. After an intro...
We define a new method for global optimization, the Homotopy Optimization Method (HOM). This method ...
International audienceWe present a method for generating the set of weakly efficient solutions of a ...
The basic theory for probability one globally convergent homotopy algorithms was developed in 1976, ...
Probability-one homotopy methods are a class of algorithms for solving nonlinear systems of equation...
AbstractUsing the theory of abstract optimization problems in infinite-dimensional spaces we provide...
In the paper, the aggregate constraint-shifting homotopy method for solving general nonconvex nonlin...
AbstractIn this paper, a constraint shifting combined homotopy method for solving multi-objective pr...
Using the theory of abstract optimization problems in infinite-dimensional spaces we provide necessa...
In this article, a new framework for evolutionary algorithms for approximating the efficient set of ...
The content of this work is a presentation of algorithms solving optimization problems with a max-se...
In this paper we derive new sufficient conditions for global weak Pareto solutions to set-valued opt...
The Pareto optimal set of a continuous multi-objective optimization problem is a piecewise continuou...