Google’s release of the “TurboQuant” technology, which drastically reduces memory requirements during AI inference, has shaken the global semiconductor market. Concerns that reduced memory needs could ...

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...

Abstract: Multi-Objective evolutionary algorithms (MOEAs) are popular for solving complex optimization problems with multiple objectives and they have gained much success in benchmark competitions as ...

EGO is a novel evolutionary algorithm that uses Shannon Entropy to adaptively balance exploration and exploitation. Unlike standard Differential Evolution (DE) or Particle Swarm Optimization (PSO), ...

Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...