Abstract: Dynamic constrained multiobjective optimization problems (DCMOPs) require quickly tracking Pareto optimal solution sets satisfying dynamic constraints. Existing dynamic constrained ...
FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
As the backbone of global trade and energy security, maritime transport and port infrastructure are critical to international economic stability. However, ...
Abstract: The coal mine integrated energy system dispatch problem (CMIES-DP) is a constrained multiobjective optimization problem (CMOP) with the characteristics of multiple objectives, ...
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 ...
Introduction: With the booming low-altitude economy, UAVs drive transformative changes across sectors, but their design must balance lightweight demands and structural integrity. This study conducts ...
Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.
Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...
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