The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified. The process involves iterative rounds of synthesis and characterisation of a ...

Abstract: This paper introduces CausalBO, a Python package developed to enhance the applicability and utility of the Causal Bayesian Optimization (CBO) algorithm. The original CBO algorithm, developed ...

GraphiQ is an open-source framework for designing photonic graph state generation schemes. Photonic graph states are an important resource for many quantum information processing tasks including ...

Porcupy implements the Crested Porcupine Optimizer (CPO), a nature-inspired metaheuristic that mimics porcupine defense mechanisms for optimization. It offers both object-oriented and procedural ...