Particle swarm optimization with composite particles in dynamic environments [PDF]
, 2010 This article is placed here with the permission of IEEE - Copyright @ 2010 IEEEIn recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments.
Liu, L, Wang, D, Yang, S
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Learning Combinatorial Interaction Test Generation Strategies Using Hyperheuristic Search [PDF]
, 2015 The surge of search based software engineering research has been hampered by the need to develop customized search algorithms for different classes of the same problem.
Cohen, MB, Harman, M, Jia, Y, Petke, J
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The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms [PDF]
, 2020 open access articleWe present Stochastic Optimisation Software (SOS), a Java platform facilitating the algorithmic design process and the evaluation of metaheuristic optimisation algorithms.
Caraffini, Fabio, Iacca, Giovani
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A review of reinforcement learning based hyper-heuristics [PDF]
PeerJ Computer ScienceThe reinforcement learning based hyper-heuristics (RL-HH) is a popular trend in the field of optimization. RL-HH combines the global search ability of hyper-heuristics (HH) with the learning ability of reinforcement learning (RL). This synergy allows the
Cuixia Li +4 more
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A stochastic local search algorithm with adaptive acceptance for high-school timetabling [PDF]
, 2014 Automating high school timetabling is a challenging task. This problem is a well known hard computational problem which has been of interest to practitioners as well as researchers.
A Hertz +25 more
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Wireless edge device intelligent task offloading in mobile edge computing using hyper-heuristics
EURASIP Journal on Advances in Signal Processing, 2022 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 ...
B. Vijayaram, V. Vasudevan
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A Classification of Hyper-heuristic Approaches [PDF]
, 2009 The current state of the art in hyper-heuristic research comprises a set of approaches that share the common goal of automating the design and adaptation of heuristic methods to solve hard computational search problems.
A.S. Fukunaga +29 more
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Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms [PDF]
, 2009 Proceeding of: 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009This work presents the application of a parallel coopera- tive optimization approach to the broadcast operation in mobile ad-hoc networks (manets). The optimization of
A.J. Nebro +26 more
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Hybrid Variable Neighborhood HyperHeuristics for Exam Timetabling Problems [PDF]
, 2005 This paper presents our work on analysing the high level search within a graph based hyperheuristic. The graph based hyperheuristic solves the problem at a higher level by searching through permutations of graph heuristics rather than the actual ...
Burke, Edmund, Qu, Rong
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Complexity, 2021 In this work, we focus on the problem of selecting low-level heuristics in a hyperheuristic approach with offline learning, for the solution of instances of different problem domains.
Lucero Ortiz-Aguilar +5 more
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