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Signal Process."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>To overcome with the computation limitation of resource-constrained wireless IoT edge devices, providing an efficient task computation offloading and resource allocation in distributed mobile edge computing environment is consider as a challenging and promising solution. Hyper-heuristic in recent times is gaining popularity due to its general applicability of same solution to solve different types of problems. Hyper-heuristic is generally a heuristic method or framework which iteratively evaluates and chooses the best low-level heuristic, to solve different types of problems. In this paper, we try to solve wireless device task offloading in mobile edge computing, which is a non-convex and NP-Hard problem by using a proposed novel Hyper-Heuristic Framework using Stochastic Heuristic Selection (HHFSHS) using Contextual Multi-Armed Bandit (CMAB) with Epsilon-Decreasing strategy, considering two key Quality of Service (QoS) objectives computation time and energy consumption. These multiobjective criteria are modeled as single-objective optimization problem with the goal to minimize latency and energy consumption of wireless devices without losing the pareto optimality. Finally, evaluate its performance by comparing with other individual meta-heuristic algorithms.<\/jats:p>","DOI":"10.1186\/s13634-022-00965-1","type":"journal-article","created":{"date-parts":[[2022,12,30]],"date-time":"2022-12-30T11:02:56Z","timestamp":1672398176000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Wireless edge device intelligent task offloading in mobile edge computing using hyper-heuristics"],"prefix":"10.1186","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0166-459X","authenticated-orcid":false,"given":"B.","family":"Vijayaram","sequence":"first","affiliation":[]},{"given":"V.","family":"Vasudevan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,12,30]]},"reference":[{"key":"965_CR1","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1007\/0-306-48056-5_16","volume-title":"Handbook of metaheuristics","author":"E Burke","year":"2003","unstructured":"E. 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