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Biology-inspired algorithms are heuristic optimization techniques that are inspired by nature and process a variety of solutions in every iteration. Examples of such algorithms include genetic algorithms [27], particle swarm optimization [28], differential evolution [29], fish school search [30] and ...
These authors studied the complexity of human–nature interactions, but at the same time, they made in-depth physical, chemical and biological observations to link everything together and start thinking about solutions for prevalent problems at hand. Another exemplary work is about the return of ...