ARGFree is the first gradient-free method for aggregative cooperative optimization, converging in expectation to an approximate solution via randomized finite differences and tracking, with a momentum-enhanced variant for high dimensions.
ZONE: Zeroth-order non- convex multiagent optimization over networks
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Proposes a scalable benchmark for DMOPs with changing objective counts by dynamically selecting subsets from fixed Minus-DTLZ and Minus-WFG problems to isolate the effect of objective number dynamics.
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Model-Free Aggregative Cooperative Optimization via Randomized Gradient-Free Minimization and Exploration Momentum
ARGFree is the first gradient-free method for aggregative cooperative optimization, converging in expectation to an approximate solution via randomized finite differences and tracking, with a momentum-enhanced variant for high dimensions.