In multi-criteria optimization problems that originate from real-world decision making tasks, we often find the …

compromise between cost and utility—a property that is usually neglected in singleobjective optimization. Thus, the MSp can be a …

nonlinear optimization problems. In real-world applications, such as optimal control or machine learning, the necessary function …://doi.org/10.1137/S1052623403426532 ) for unconstrained optimization problems with objectives that can be characterized as the … gives the flexibility to cover, for example, (sub)problems arising in image reconstruction or constrained optimization …

Approximation of subdifferentials is one of the main tasks when computing descent directions for nonsmooth optimization …

We propose a multi-swarm approach to approximate the Pareto front of general multi-objective optimization problems that … is based on the consensus-based optimization method (CBO). The algorithm is motivated step by step beginning with a …-based optimization. …

, the contribution of this work is an algorithm to dynamically solve the integrated problem of layout optimization and … policy optimization and consists of a decoder and encoder, allowing for various-sized system state descriptions. A simulation … makespan optimization objective. This allows for adaptive optimization of line-less mobile assembly systems that can face …

Modeling, Analysis, and Optimization for Mathematical Finance, Economics, and Risks is a critical domain that …