Delfour, M.C. (2022) Topological Derivative of State-Constrained Objective Functions A Direct Method. SIAM Journal on Control and Optimization, 60, 22-47.

For industrial organizations serious about AI value, objective functions can provide the critical link between technical capabilities and business outcomes.

In this paper, the problem of online distributed optimization subject to a convex set is studied by employing a network of agents. Each agent's objective function is time-varying and nonconvex and the ...

Multi-objective optimization design is accomplished through the non-inferiority ranking genetic algorithm in the optimization component packaged by ISIGHT. The ISIGHT software is employed to implement ...

To better support the design process, this paper presents a new method of solving non-linear multi-objective optimization problems by adding a control function that will guide the optimization process ...

Most sensitivity analysis studies of optimization algorithm control parameters are restricted to a single objective function evaluation (OFE) budget. This restriction is problematic because the ...

Single-Objective Optimization with Hierarchical-PABO (H-PABO): While H-PABO is generally aimed for multi-objective problems, it can easily be reduced to a single-objective optimization by setting ...