Abstract: This paper proposes a novel multi-objective grey wolf optimizer based on decomposition and adaptive constraint scaling (D-ACSMOGWO) to address the shortcomings of existing algorithms in ...

1 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia 2 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia Introduction: ...

Abstract: Expensive multi-objective binary optimization problems frequently emerge in real-world applications, where evaluating a single solution incurs significant computational or physical costs.

Sequence-Based AI for Rapid Evaluation of Small Molecules and Antibodies” SAN FRANCISCO , CA, UNITED STATES, January 14, 2026 /EINPresswire.com/ — Ainnocence today announced a major milestone in ...

Researchers have developed a novel multi-constraint optimization method that significantly improves the efficiency of reinforcement learning in complex environments. This new algorithm, called ...

1 China Railway 22nd Bureau Group Real Estate Development Co., Ltd., Beijing, China 2 School of Civil Engineering, North China University of Technology, Beijing, China Balancing the relationship ...

New, Canada-wide evidence from a late-2025 pulse survey of 648 acute care stakeholders-plus a 2026-2030 buyer roadmap on interoperability-as-a-procurement-gate, data sovereignty, and tightening ...

How Promise Theory and integrity scoring enable autonomous AI agents to govern themselves at enterprise scale.

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

Foreign investors should assess how withholding tax applies to cross-border payments in Singapore, including rates, treaty ...