Abstract: As is well known, it is challenging to address the convergence for distributed constrained optimization problem, in particular when nonconvex constraints, nonuniform step-sizes (nonuniform ...
Revolutionary AI agent framework using genetic evolution, liquid neural networks, and ML analytics for self-optimizing, production-ready multi-agent systems.
Abstract: Constraint-handling techniques and genetic operators are two crucial components in constrained multi-objective evolutionary algorithms (CMOEAs). Recent research in most of CMOEAs has ...
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