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

An international study has demonstrated that utility-scale solar PV paired with hydraulic hydro storage (HHS) could reach an LCOE as low as $0.022/kWh in select U.S. regions. The system could provide ...

Gartner predicted traditional search volume will drop 25% this year as users shift to AI-powered answer engines. Google’s AI Overviews now reach more than 2 billion monthly users, ChatGPT serves 800 ...

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 ...

Optimization of traffic flow in a road network using MATLAB's Genetic Algorithm. Applied to a nonlinear objective function with equality constraints ...

In this tutorial, we implement an advanced Optuna workflow that systematically explores pruning, multi-objective optimization, custom callbacks, and rich visualization. Through each snippet, we see ...

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 ...

Abstract: The Swarm Optimization algorithm, a heuristic grounded in swarm intelligence, has progressively been employed in production scheduling, power and water resource optimization, biomedicine, ...