Nonlinear Conjugate Gradient Method for Multiobjective Optimization Problems of Interval-Valued Maps
This paper proposes a nonlinear conjugate gradient method with Wolfe line search for solving unconstrained multiobjective interval optimization problems, providing proofs of global convergence for general and specific algorithmic parameters (Fletcher-Reeves, Conjugate Descent, Dai-Yuan, and modified Dai-Yuan) alongside numerical performance evaluations.