Performance Analysis of the (1+1) Evolutionary Algorithm for the ...
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Jun 5, 2014 · This paper contributes a theoretical understanding of EAs on the NP-hard multiprocessor scheduling problem. The worst-case bound on the (1+1)EA ...
However, results on the performance analysis of EAs for NP-hard problems are rare. This paper contributes a theoretical understanding of EAs on the NP-hard ...
Jul 15, 2024 · Finally, the theoretical analysis on three selected instances of the multiprocessor scheduling problem shows that EAs outperform local search ...
This paper contributes a theoretical understanding of EAs on the NP-hard multiprocessor scheduling problem. The worst-case bound on the (1+1)EA for the ...
We analyze the run-time of the (1 + 1) Evolutionary Algorithm optimizing an arbitrary linear function f : {0,1,...,r}n -> R. If the mutation probability of ...
Missing: Performance Multiprocessor
This paper focuses the combinational optimization problem, namely, the problem of minimizing schedule length with energy consumption constraint and the problem ...
An Evolutionary Algorithm Based Performance Analysis ... scheduling problem [1, 4] with concave reward functions. ... This multiprocessor scheduling problem is NP ...
This paper focuses the combinational optimization problem, namely, the problem of minimizing schedule length with energy consumption constraint and the problem ...
This paper has reported the results of a systematic literature review (SLR) on evolutionary algorithms for the multiprocessor task scheduling problem. Based ...
Genetic algorithm(GA) is one of the best evolutionary algorithm for scheduling tasks to different computational machines [6]. In GA, the time taken to find ...