Scientific Research Publishing

Bryant, R.E. (1986) Graph-Based Algorithms for Boolean Function Manipulation. IEEE Transactions on Computers, 35, 677-691.

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
MIT Technology Review

What does it mean for an algorithm to be “fair”?

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...
C&EN

State Function-Based Correction: A Simple and Efficient Free-Energy Correction Algorithm for Large-Scale Relative Binding Free-Energy Calculations

State Key Laboratory of Anti-Infective Drug Discovery and Development, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China Key Laboratory of Tropical Biological ...
GitHub

In the context of dynamic multi-objective optimization using the DNSGA-II algorithm, the callback function should be executed after saving the optimization history?

In the context of using DNSGA2 to solve dynamic multi-objective optimization problems (DMOPs), a critical issue arises regarding the timing of the callback function execution and its impact on ...
IEEE

Penalty Removal Search Algorithm for Distributed Optimization of Nonconvex Functions in Economic Dispatch

Abstract: Nonconvexity is a usually overlooked factor in economic dispatch (ED). Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall ...
Scientific Research Publishing

Attouch, H. and Bolte, J. (2007) On the Convergence of the Proximal Algorithm for Nonsmooth Functions Involving Analytic Features. Mathematical Programming, 116, 5-16.

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
IEEE

M0RV Model: Advancing the MuZero Algorithm Through Strategic Data Optimization Reuse and Value Function Refinement

Abstract: This paper introduces a model, M0RV, that improves the MuZero algorithm through data reuse and loss function optimization. It proposes reusing training trajectories generated by Monte Carlo ...