MOEA/D stands for Multi-Objective Evolutionary Algorithm based on Decomposition. It is a strategy for solving multi-objective optimization problems by decomposing them into a set of single-objective optimization problems. Each of these problems is then solved simultaneously using an evolutionary algorithm, which facilitates better exploration and exploitation of the search space. This method is particularly effective in applications that require balancing multiple objectives, making it relevant to advanced genetic algorithms, sensor configuration, and navigation strategies in mobile robotics.
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