Scientific Research Publishing

SymPcNSGA-Testing: A Hybrid Approach to Mitigate Path Explosion in Software Programs ()

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
IEEE

A Decision Variables Classification-Based Evolutionary Algorithm for Constrained Multi-Objective Optimization Problems

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...
American Institute of Physics

Multi-objective algorithm speeds up UAV search-and-rescue

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.
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 ...
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Nissan Is Recalling 642,698 Rogue SUVs For Multiple Problems

Nissan is recalling 642,698 Rogue SUVs in the United States under two separate campaigns addressing defects that could lead to a loss of drive power, according to the National Highway Traffic Safety ...

QScreen AI Advances Quantum-Inspired Optimization with U.S. Patent Filing; Gains National Spotlight on CBC

February 17, 2026) - QScreen AI Inc (CSE: QAI) (OTC Pink: PMEDF) (FSE: 3QP), an innovator fusing Quantum-AI technologies to transform health screening and employee wellness, today announced the filing ...