According to the results, the most effective metaheuristic algorithm for scheduling is simulated annealing (SA). Additionally, the optimal PV system, battery, and power conversion system capacities for the university are 13,000 kW each, 10% of the PV system capacity, and 60% of the ...
Cite this article Satouf, A., Hamidoğlu, A., Gül, Ö.M.et al.Metaheuristic-based task scheduling for latency-sensitive IoT applications in edge computing.Cluster Comput28, 143 (2025). https://doi.org/10.1007/s10586-024-04878-6 Download citation Received15 July 2024 Revised30 October ...
The published metaheuristic procedure that obtained the best solutions, on average, for non-small RTVP instances is an algorithm based on a variant of the variable neighbourhood search (VNS), called Reduced VNS (RVNS). We propose hybridising RVNS with three existing algorithms based on tabu ...
4)iterative heuristic algorithm迭代启发式算法 1.In the paper,twoiterative heuristic algorithms(IHA1,IHA2 for short) were proposed for total completion time minimization in no-wait flowshop scheduling problem(NWFSP).针对以总完工时间最小化为目标的无等待流水调度问题(缩写为NWFSP),提出了两个迭代启发式...
Further, scheduling algorithms based on ACO can be improved by applying local search techniques to the output of the ACO algorithm [8]. The local search techniques proposed in [8] are focused on finding the problem resource i.e. the resource whose total execution time is equal to the makespa...
In this paper, a novel swarm-based metaheuristic algorithm is proposed, which is called tuna swarm optimization (TSO). The main inspiration for TSO is based on the cooperative foraging behavior of tuna swarm. The work mimics two foraging behaviors of tuna swarm, including spiral foraging and par...
This paper shall also compare the results of proposed ACO algorithm with state of the art metaheuristic like genetic algorithm (GA), conventional clonal selection algorithm (CSA), positive selection based modified clonal selection algorithm (PSMCSA), particle swarm optimization (PSO...
Basicallyheuristicalgorithmssolvereallydifficultproblemsreasonablywell(whichisprettysubjective)inareasonableamountoftime(alsoprettysubjective).Examplesofproblemsthataretackledwithheuristicalgorithms(moreontheseinMatt’slectureonFriday): Cutting/PackingGraphproblems,i.e.TravellingSalesmanProblemSchedulin...
Hence, a meta-heuristic algorithm is what required in reaching the optimal response. Thus, the algorithm is a hybridization of the ant lion optimizer (ALO) algorithm with a Sine Cosine Algorithm (SCA) algorithm and used it multi-objectively to solve the problem of scheduling scientific workflows...
Caserta, M.: Tabu search-based metaheuristic algorithm for large-scale set covering problems. In: Doerner, K., Gendreau, M., Greistorfer, P., Gutjahr, W., Hartl, R., Reimann, M. (eds.) Metaheuristics. Operations Research/Computer Science Interfaces Series, vol. 39, pp. 43–63. ...