This section reviews the current literature on multi-criteria decision-making (MCDM) methods in sustainable energy planning, ...
Researchers designed an integrated decision-making framework to optimize vaccine supply networks across 183 counties in ...
Researchers have demonstrated that the Grasshopper plugin Stag successfully executes multi-material topology optimization ...
Researchers present a new adaptive qubit encoding method for Continuous-Variable Quantum Optimization on qubit-based machines ...
Cooperative Multi-Agent Proximal Policy Optimization (MAPPO) framework for joint 3D trajectory control, priority-aware computation offloading, cooperative service caching, and uplink Non-Orthogonal ...
This research achieves a 33% saving in quantum solves for materials configuration search using Bayesian Weight Selection.
Google and Carnegie Mellon's Harmony Harness framework automatically evolves AI agent scaffolding using multi-objective ...
Samrat Mukherjee, Selvaraj Durairaj and Asadullah Saif Mohammed talk about how artificial intelligence can be used to improve ...
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 ...
Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
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