Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...

Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have been widely developed to solve complex and computationally expensive multiobjective optimization problems (EMOPs) in recent years.

Your blueprint for better Python architecture. pattern_kit is a developer-friendly Python library offering clean, idiomatic implementations of common software design patterns. It focuses on real-world ...