New logic-based method optimizes energy costs in project scheduling

Researchers have developed novel approaches to tackle the Resource-Constrained Project Scheduling Problem (RCPSP) when incorporating time-of-use energy tariffs and machine states. The proposed methods include a monolithic Constraint Programming (CP) approach and a Logic-Based Benders Decomposition (LBBD) method. The LBBD approach, which combines integer linear programming for energy cost optimization with CP for scheduling, significantly outperforms monolithic CP and a compact ILP counterpart, successfully solving instances with up to 480 tasks. AI

IMPACT This research introduces advanced optimization techniques that could be applied to AI-driven scheduling and resource management systems.

RANK_REASON The cluster contains an academic paper detailing a new optimization method. [lever_c_demoted from research: ic=1 ai=0.4]

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• Antonín Novák
• cerebral palsy
• constraint programming
• Inductive logic programming
• integer linear programming
• Logic-based Benders decomposition method for the seru scheduling problem with sequence-dependent setup time and DeJong’s learning effect
• Resource-constrained project scheduling problem considering productivity and construction methods, time of useful consciousness, RCPSP
• Total energy costs in ecosystems

• paper
• other

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