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Abstract Lots of real-world optimization problems are inherently constrained multi-objective optimization problems (CMOPs), but the existing constrained multi-objective optimization evolutionary algorithms (CMOEAs) often fail to balance convergence and diversity effectively.Therefore, a novel constrained multi-objective optimization evolutionary al
Abstract: This article aims to analyze historical learning in social science visual comfort primitive swing arm subjects by inviting elementary school students to learn outside the classroom.During this time the obstacles in learning history are verbalism, monotony, and lack of understanding of elementary school students about a historical event.Le
Predictions made by climate researchers are highly worrisome and demand rapid action to avoid the threat toyota benify of climate catastrophe.Global energy systems must be transformed as quickly as possible by minimising or avoiding net greenhouse gas emissions.There is broad agreement on this goal, demonstrated by international treaties such as th