1. Introduction
Duality theory represents an important part in the study of mathematical programming problems. Due to its effectiveness, it has been extended and generalized to new classes of optimization problems. Here, we mention the classical research papers of Hanson [
1], Mond and Hanson [
2], Mond and Smart [
3], Aggarwal et al. [
4]. Further, the multiobjective optimization problems with mixed constraints have been studied by many researchers, with remarkable results. In this regard, Mishra and Mukherjee [
5] considered a multiobjective control problem and established Mond–Weir duality results under V-invexity assumptions and their generalizations. Ahmad and Sharma [
6] obtained sufficient conditions of optimality and formulated Wolfe and Mond–Weir duals for a class of multiobjective variational control problems. Further, Antczak [
7] established Mond–Weir and Wolfe type duals for multiobjective variational control problems under 
-invexity. Recently, Mititelu and Treanţă [
8] formulated and proved efficiency conditions in vector control problems governed by multiple integrals. Following this work, Treanţă [
9] investigated the necessary and sufficient efficiency conditions in uncertain variational control problems. For more and various contributions and approaches to multiobjective variational control problems, the reader is directed to Zhian and Qingkai [
10], Mititelu [
11], Treanţă and Udrişte [
12], Zalmai [
13], Hachimi and Aghezzaf [
14], Treanţă [
15,
16], Treanţă and Mititelu [
17], Chen [
18], Kim and Kim [
19], Gulati et al. [
20], Nahak and Nanda [
21], Arana-Jiménez et al. [
22], Khazafi et al. [
23], Zhang et al. [
24], Treanţă and Arana-Jiménez [
25].
The present paper, motivated by the aforementioned research works and practical reasons, establishes weak, strong, and converse Mond–Weir duality results for a new class of multiobjective optimization problems with interval-valued components governed by path-independent curvilinear integral functionals. The main novelty elements of this work are represented by the necessary LU-efficiency conditions derived using some recent research papers of the author; the notion of -quasiinvexity associated with interval-valued path-independent curvilinear integral functionals; and the presence of a partition associated with a set of indices used for the inequality-type constraints.
In the following, we organize the paper as follows: in 
Section 2, we present notations, preliminary mathematical tools, and the problem formulation we are going to study; in 
Section 3, we establish the main results of this paper—namely, weak, strong, and converse Mond–Weir dualities are formulated and proved for the new class of multiobjective optimization problems; finally, in 
Section 4, we conclude the paper.
  2. Preliminaries
Throughout this paper, we consider 
 as a compact domain in the Euclidean real space 
 and denote by 
, and 
, the points in 
 and 
, respectively. Further, consider that 
 is a piecewise smooth curve joining the different points 
, 
 in 
. Now, we define the following continuously differentiable functions
      
      and we accept that the following Lagrange densities
      
      satisfy the closeness conditions (complete integrability conditions)
      
      where 
 is the total derivative operator. Denote by 
 the space of all piecewise smooth 
state functions , and by 
 the space of all piecewise continuous 
control functions , endowed with the induced norm. Additionally, in this paper, for any two 
p-tuples 
 in 
, we use the following partial ordering
      
Let  be the set of all closed and bounded real intervals. Denote by  a closed and bounded real interval, where  and  indicate the lower and upper bounds of , respectively. Throughout this paper, the interval operations are performed as follows: 
Definition 1 (Treanţă [
9])
. Let . We write  if and only if  and . Further, we write  if and only if  and . Definition 2 (Treanţă [
9])
. A function , defined bywhere  and  are real-valued functions and satisfy the condition  is said to be an interval-valued function. For 
, we consider the following vector continuously differentiable functions with interval-valued components (closed 1-forms)
      
      which, for 
, generate the interval-valued path-independent curvilinear integral functionals (see Einstein summation):
Further, in accordance with Treanţă and Mititelu [
17,
26], following Treanţă [
9], in order to formulate and prove the main results included in this paper, we introduce the concept of 
-quasiinvexity associated with an interval-valued path-independent curvilinear integral functional. For 
, we consider an interval-valued continuously differentiable function:
      where 
 and for 
 and 
, we introduce the following interval-valued path-independent curvilinear integral functional:
Furthermore, let  be a real number,  be a positive functional, and  be a real-valued function on .
Definition 3. of -class with , andof -class with , such that for every ,or, equivalently,then,  is said to be -quasiinvex at  with respect to  and . of -class with , andof -class with , such that for every ,or, equivalently,then,  is said to be strictly -quasiinvex at  with respect to  and .  Next, for 
, we consider the vector continuously differentiable function with interval-valued components
      
Definition 4. The vector path-independent curvilinear integral functional with interval-valued components is said to be -quasiinvex (strictly -quasiinvex) at  with respect to  and , if each interval-valued component of the vector is -quasiinvex (strictly -quasiinvex) at  with respect to  and .
 Now, we are in a position to formulate the following new class of multiobjective fractional variational control problems with interval-valued components, called the Primal Problem (in short, PP): 
	                       subject to
      
      where, for 
, we have denoted
      
      and it is assumed that 
.
The set of all feasible solutions in 
 is defined by
      
Definition 5. A feasible solution  in  is called an LU-efficient solution if there is no other  such that .
 Taking into account Treanţă [
9], Mititelu and Treanţă [
8], and Treanţă and Mititelu [
26], under constraint qualification assumptions, if 
 is an LU-efficient solution of the variational control problem 
, then there exist 
, and 
, with 
 piecewise smooth functions, satisfying the following conditions (see Einstein summation)
      
      for all 
, except at discontinuities.
Definition 6. The feasible solution  is a normal LU-efficient solution for  if the necessary LU-efficiency conditions formulated in – hold for  and .
   3. Mond–Weir Duality
Let 
 be a partition of the set 
, where 
. For 
 and 
, with the same notations as in 
Section 2, we associate to 
 the next multiobjective fractional variational control problem with interval-valued components of the vector, called the Dual Problem (in short DP):
                            subject to
      
In this section, we establish that the multiobjective optimization problems with interval-valued components of the ratio vector, 
 and 
, are a Mond–Weir (see [
27]) dual pair under 
-quasiinvexity hypotheses. Further, assume that 
 is the set of all feasible solutions associated with 
.
Now, in accordance with Treanţă and Mititelu [
17], we formulate and prove a first duality result.
Theorem 1 (Weak Duality). Let  be a feasible solution of the multiobjective variational control problem with interval-valued components  and  be a feasible solution of the multiobjective variational control problem with interval-valued components . Further, assume that the following conditions are fulfilled:
is -quasiinvex at  with respect to  and , or, equivalently, each interval-valued path-independent curvilinear integral functional is -quasiinvex at  with respect to  and .
(b) For , each functional is -quasiinvex at  with respect to  and .
(c) At least one of the functionals given in  is strictly -quasiinvex at  with respect to  and , where  or .
(d) .
Then, the infimum of  is greater than or equal to the supremum of .
 Proof.  Denote by 
 and 
 the value of problem 
 at 
 and the value of problem 
 at 
, respectively. Contrary to the result, suppose that 
. Further, for 
 and 
, consider the following nonempty set:
        
Using 
 for 
 and 
, we get
        
Multiplying by 
, and making summation over 
, we find
        
For 
, the inequality 
 holds and, according to 
 and making summation over 
, it follows that
        
Making the sum 
 + 
 side by side and taking into account 
, we have
        
The previous inequality implies 
 and, as a consequence, we can rewrite it as
        
Now, considering constraints 
 and 
 of 
, we obtain
        
By direct computation, we get
        
        but, applying the condition 
 and the result “
A total divergence is equal to a total derivative.”, we get
        
Consequently,
        
        and applying the hypothesis 
 and 
, we get a contradiction. Therefore, the infimum of 
 is greater than or equal to the supremum of 
.    □
 The next, according to Treanţă and Mititelu [
17], establishes a strong duality between the two considered multiobjective optimization problems with interval-valued components.
Theorem 2 (Strong Duality). Under the same -quasiinvexity hypotheses formulated in Theorem 1, if  is a normal LU-efficient solution of the Primal Problem , then there exist  and  such that  is an LU-efficient solution of the Dual Problem  and the corresponding objective values are equal.
 Proof.  Considering that 
 is a normal LU-efficient solution in 
, the necessary LU-efficiency conditions, formulated in (4)–(6), involve that there exist 
 and 
 such that 
 is a feasible solution for 
. Since
        
        and (by 
)
        
        the dual objective has the same value as the primal objective and, by Theorem 1, 
 is an LU-efficient solution of 
.    □
 The following theorem formulates a converse duality result associated with the considered multiobjective optimization problems with interval-valued components.
Theorem 3 (Converse Duality). Let  be an LU-efficient solution of . Further, assume that the following conditions are fulfilled:
(a)  is a normal LU-efficient solution of ;
(b) the hypotheses of Theorem 1 are satisfied for .
Then,  and the corresponding objective values are equal.
 Proof.  Contrary to the result, let us suppose that 
 is not a normal LU-efficient solution of 
, that is, 
. As 
 is a normal LU-efficient solution of 
, according to Treanţă [
9] and Mititelu and Treanţă [
8], there exist 
 and 
, satisfying (4)–(6) and Definition 6. It follows
        
        and, therefore, 
. Moreover, we have 
. In accordance to Theorem 1, we have 
 or 
. This contradicts the maximal LU-efficiency of 
. Hence, 
 and the corresponding objective values are equal.    □
 Remark 1. If, for  and , each interval-valued path-independent curvilinear integral functional  is equal to 1, then we obtain primal and dual multiobjective nonfractional variational control problems with interval-valued components and the corresponding Mond–Weir duality results.