Part I, Introduction: Bioinspired Computation.- Methods for Analysis.- Part II, Single-objective Optimization: Minimum Spanning Trees.- Eulerian Cycles.- Shortest Paths.- Maximum Matchings.- Vertex Cover.- Partition.- Part III, Multiobjective Optimization: Making Problems Easier Using Additional Objectives.- Minimum Spanning Trees.- Vertex Cover, Set Cover.- Multiobjective Minimum Spanning Trees
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