On combining feasibility, descent and superlinear convergence in inequality constrained optimization
Mathematical Programming: Series A and B
New Sequential and Parallel Derivative-Free Algorithms for Unconstrained Minimization
SIAM Journal on Optimization
A steepest descent method for vector optimization
Journal of Computational and Applied Mathematics
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
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This work presents an algorithm that converges to points that satisfy a first-order necessary condition of weakly Pareto solutions of multiobjective optimization problems. Hints on how to include second-order information are given. Preliminary numerical results are encouraging.