Hybrid metaheuristics in combinatorial optimization: A survey

By Christian Blum, Jakob Puchinger, Günther R. Raidl, Andrea Roli. Applied Soft Computing, 2011

813 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/ab2886eea9c2f45321a24fd77570ecec61442def

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Citations in the corpus

Heuristics for multi-attribute vehicle routing problems: A survey and synthesis (2013, background): “Although much effort has been recently put into properly defining the scope of hybrid metaheuristics (Raidl et al. 2010, Blum et al. 2011), the term remains very general and covers very different strategies.”
A comprehensive survey on recent metaheuristics for feature selection (2022, methodology): “Hence, more efficient and flexible algorithms can be developed using these hybrid methods [241, 242].”
The Ant Lion Optimizer (2015, neutral): “In recent years metaheuristic algorithms have been used as primary techniques for obtaining the optimal solutions of real engineering design optimization problems [1–3].”
Particle Swarm Methods (2018, background): “In such problems, the main goal is the detection of an optimal permutation of fixed elements (e.g., numbers, items, indices, etc.) and they are frequently met in Combinatorics and Operations Research [11].”
A novel collaborative optimization algorithm in solving complex optimization problems (2016, background): “There are a lot of problems in the industry, agriculture, national defense, information and other areas, which can be translated directly into the combinatorial optimization problems (Yanass 2013; Blum et al. 2011).”
Recent advances in differential evolution - An updated survey (2016, background): “It has been pointed out in [16] —“In fact, choosing an adequate combination of complementary algorithmic concepts can be the key for achieving top performance in solving many hard optimization problems”.”
A survey on optimization metaheuristics (2013, methodology): “Hybridization is not restricted to the combinati on of different metaheurist ics but includes the use of hybrid algorithms that combine local search or exact algorithms and metaheurist ics [32].”