Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...
Abstract: Data-driven optimization problems (DDOPs) have become increasingly prevalent in real-world applications where analytical models are unavailable or expensive to evaluate. Data-driven ...
New modular legged robot comprises multiple smaller autonomous robots. Each athletic module is a complete robot with its own motor, battery and brain. Together, modules form larger machines that can ...
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