Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

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Skill-based reinforcement learning has become the mainstream approach to solve sparse-rewards decision making tasks. The ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

This implementation of PT was developed using MATLAB 2015. The code is organized in different packages depending on the scope. The main package is called pt which stands for Pareto Tracer. This ...

This package offers an interface for objective functions in the context of (multi-objective) global optimization. It conveniently builds up on the S3 objects, i. e., an objective function is a S3 ...

Flying needs to become more comfortable and efficient. One way to achieve this is by using intelligent load control systems capable of proactively responding to wind gusts and manoeuvres, and ...