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May 26, 2018 · Our client has a large-scale staff allocation problem. As a multinational, the company aims to work on jobs for 2,000 projects. Each year, our ...
Satalia is working with a multinational company that needs to have a team of 10 people spend 4 months every year manually assigning 1,000 staff to perform ...
The upper layer uses the Hungarian Algorithm to achieve the configuration of “strong employees”, and the lower layer uses the Hybrid Genetic Simulated Annealing ...
Sep 19, 2023 · The optimal allocation of multi-skilled workers in labor-intensive industries can improve production capacity and reduce production costs.
Sep 25, 2024 · In this paper, a fractional proportional–integral–derivative (PID) distributed optimization algorithm is proposed to solve the network resource allocation ...
Missing: Staff | Show results with:Staff
Multi-objective Large-Scale Staff Allocation. Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/or/AnzalduaBELS17. Home | Example Publications ...
Jul 18, 2024 · In this work, we propose to apply a multi-objective evolutionary algorithm (MOEA) to the problem of crop allocation. Relying upon a machine ...
Mar 1, 2021 · This paper proposes a resource allocation algorithm for emergent demands in cloud computing. After building the priority of resource allocation and the ...
Missing: Staff | Show results with:Staff
Aug 15, 2024 · We propose a multi-objective approach, simultaneously maximizing the overall yield, minimizing the year-on-year yield variance, and minimizing the total ...
Aug 19, 2023 · In large-scale multi-objective optimization problems (LSMOPs), multiple conflicting objectives and hundreds even thousands of decision ...
Missing: Staff | Show results with:Staff