Tag: optimization algorithms
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Execution-Verified Reinforcement Learning for Optimization
Discover EVOM, a reinforcement learning framework enhancing optimization modeling with solver-specific code and zero-shot solver transfer.
Accelerated CPU-GPU Hybrid Scheduling with Differentiable Init
Boost combinatorial scheduling performance using a CPU-GPU hybrid framework with differentiable initialization for faster, near-optimal ILP solutions.
RDEx-MOP: Advanced Differential Evolution for Fixed-Budget MOP
Discover RDEx-MOP, an indicator-guided differential evolution algorithm excelling in fixed-budget multiobjective optimization with top performance in CEC 2...
RDEx-SOP: Efficient Differential Evolution for Fixed-Budget Optimization
Discover RDEx-SOP, an exploitation-biased differential evolution algorithm designed for fast, high-quality fixed-budget single-objective optimization.
AlignOPT: LLMs & Graph Neural Solvers for Optimization
Discover AlignOPT, a novel method combining LLMs and graph neural solvers to enhance combinatorial optimization accuracy and scalability.