Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.
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Robot surgeons, longer lives, and no retirement savings: Elon Musk's 4 extreme work predictions
Elon Musk is sketching a future of work that looks nothing like the one most people are preparing for, from robot surgeons ...
Abstract: Solving constrained multiobjective optimization problems (CMOPs) is a highly challenging work. Numerous complex nonlinear constraints significantly add to the complexity of CMOPs, resulting ...
This paper proposes a domain constraint strategy based on the k-means algorithm and combines it with the currentbased learning method for the inversion of highly nonlinear targets. The nonlinearity of ...
This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...
It is designed as a scalable solver for recursive logic constraints. Suitable but not only for test generation, symbolic execution and program synthesis. You can use ...
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