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Alexandru-Razvan Manescu and Bogdan Dumitrescu
In this paper, a novel global optimization approach in the form of an adaptive hyper-heuristic, namely HyperDE, is proposed. As the naming suggests, the method is based on the Differential Evolution (DE) heuristic, which is a well-established optimizatio...
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Stephen A. Adubi, Olufunke O. Oladipupo and Oludayo O. Olugbara
Hyper-heuristics are widely used for solving numerous complex computational search problems because of their intrinsic capability to generalize across problem domains. The fair-share iterated local search is one of the most successful hyper-heuristics fo...
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Felipe Martins Müller and Iaê Santos Bonilha
Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the objective of intelligently combining heuristic methods to solve hard optimization problems. Ant colony optimization (ACO) algorithms have been proven to deal with ...
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Anna Karen Gárate-Escamilla, Ivan Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín and José Carlos Ortiz-Bayliss
Hyper-heuristics have arisen as methods that increase the generality of existing solvers. They have proven helpful for dealing with complex problems, particularly those related to combinatorial optimization. Their recent growth in popularity has increase...
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Dadmehr Rahbari
In recent years, the increasing use of the Internet of Things (IoT) has generated excessive amounts of data. It is difficult to manage and control the volume of data used in cloud computing, and since cloud computing has problems with latency, lack of mo...
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Robertas Dama?evicius and Rytis Maskeliunas
This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic algorithms. The technique is based on altering the state of agents using a logistic probability function that is dependent on an agent?s fitness rank. An evalua...
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Chunmiao Zhang, Yanwei Zhao and Longlong Leng
This paper proposes a low-carbon location routing problem (LCLRP) model with simultaneous delivery and pick up, time windows, and heterogeneous fleets to reduce the logistics cost and carbon emissions and improve customer satisfaction. The correctness of...
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Dunwen Wei, Feiran Wang and Hongjiao Ma
This paper presents a new path planning model that combines the global path planning and the local path planning for the large-scale complex marine environment. Meanwhile, the online learning swarm hyper-heuristic algorithm (SHH) is proposed to solve thi...
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Alexandre Silvestre FERREIRA,Aurora POZO,Richard Aderbal GONÇALVES
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