02328nam 2200445z- 450 9910637779003321202212063-0365-5876-4(CKB)5470000001631749(oapen)https://directory.doabooks.org/handle/20.500.12854/94566(oapen)doab94566(EXLCZ)99547000000163174920202212d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierApplied (Meta)-Heuristic in Intelligent SystemsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (184 p.)3-0365-5875-6 Engineering and business problems are becoming increasingly difficult to solve due to the new economics triggered by big data, artificial intelligence, and the internet of things. Exact algorithms and heuristics are insufficient for solving such large and unstructured problems; instead, metaheuristic algorithms have emerged as the prevailing methods. A generic metaheuristic framework guides the course of search trajectories beyond local optimality, thus overcoming the limitations of traditional computation methods. The application of modern metaheuristics ranges from unmanned aerial and ground surface vehicles, unmanned factories, resource-constrained production, and humanoids to green logistics, renewable energy, circular economy, agricultural technology, environmental protection, finance technology, and the entertainment industry. This Special Issue presents high-quality papers proposing modern metaheuristics in intelligent systems.AppliedHistory of engineering & technologybicsscTechnology: general issuesbicsscgreen energyhyperheuristicslow carbons&nbspmatheuristicsvehicle routingwireless networkingHistory of engineering & technologyTechnology: general issuesYin Peng-Yengedt1293396Yin Peng-YengothBOOK9910637779003321Applied (Meta)-Heuristic in Intelligent Systems3040530UNINA