Mathematical framework solves asteroid route planning exactly for first time

A new publication from Bielefeld University sets a benchmark in optimization research. Together with an international team, Professor Michael Römer from the Faculty of Business Administration and ...
IEEE

A Computationally-Efficient Algorithm to Enable Joint Optimization of Connected Automated Vehicles’ Trajectories and Signal Phasing and Timing in Coordinated Arterials

Abstract: Connected Automated Vehicles (CAVs) have the potential to improve traffic performance on urban roads, especially at signalized intersections. Several studies have developed signal control ...
IEEE

Runtime Analysis of Evolutionary Algorithms for Multi-Party Multi-Objective Optimization

Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...
TMCnet

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
GitHub

Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...