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This paper presents two new approaches for transforming a single-objective problem into a multi-objective problem. These approaches add new objectives to a problem to make it multi-objective and use a ...
Most current multi-optimization survey papers classify methods into broad objective categories and do not draw clear boundaries between the specific techniques employed by these methods. This may lead ...
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Keeping America's cereal bowl full: Optimizing grain transport to balance cost, carbon and ...
Real-world grain movement, the study found, is a blend. It's a bit like mixing corn flakes with a handful of granola and a ...
Multi-Objective Particle Swarm Optimization (MOPSO) and the Multi-Objective Covariance Matrix Adaptation Evolution Strategy (MO-CMA-ES) apply swarm intelligence and probabilistic modeling, ...
See how a leading operator increased the effectiveness of capital deployment, improved resource utilization and accelerated ...
The research finds that AI is already revolutionizing energy storage at multiple levels, starting with the performance of ...
近日,青岛科技大学信息科学技术学院巩敦卫教授与中国矿业大学左明成副教授和张勇教授、澳门城市大学郭永德副教授等合作,在约束多目标优化问题智能求解方向取得研究进展,相关成果以“Constrained Multi-objective ...
LyondellBasell Industries operated one of the largest refineries in the U.S.—located in Houston, Texas (U.S.), just off the ...
LTIMindtree renews multi-million-dollar partnership with OKQ8, focusing on technology optimization and innovation for growth ...
At the industry level, the research suggests that AI-enabled decision support could help firms quantify trade-offs more ...
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