Hybrid Artificial Intelligent Systems (HAIS) try to deal with the
complexity of real world phenomena using a multidisciplinary
approach and a plurality of techniques. Logistics Management and
Optimization through Hybrid Artificial Intelligence Systems offers
the latest research within the field of HAIS, surveying the broad
topics and collecting case studies, future directions, and cutting
edge analyses. Using biologically-inspired algorithms such as ant
colony optimization and particle swarm optimization, this text
includes solutions and heuristics for practitioners and academics
alike, offering a vital resource for staying abreast in this
ever-burgeoning field.
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