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Hybridization of Evolutionary Algorithms [PDF]
, 2011 Evolutionary algorithms are good general problem solver but suffer from a lack of domain specific knowledge. However, the problem specific knowledge can be added to evolutionary algorithms by hybridizing. Interestingly, all the elements of the evolutionary algorithms can be hybridized.
Fister, Iztok +2 more
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A hybrid algorithm for optimising facilty layout
South African Journal of Industrial Engineering, 2015 Despite the reported effectiveness of analytical algorithms in facility layout planning, a detailed literature survey suggests a lack of new analytical methods in recent years.
Tasadduq, Imran +2 more
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IEEE Access, 2020 CIPDE and JADE are two powerful and effective Differential Evolution (DE) algorithms with strong exploration and exploitation capabilities. In order to take advantage of these two algorithms, we present a hybrid differential evolution algorithm combining
Jeng-Shyang Pan +2 more
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AOAAO: The Hybrid Algorithm of Arithmetic Optimization Algorithm With Aquila Optimizer
IEEE Access, 2022 Many new algorithms have been proposed to solve the mathematical equations formulated to describe the real-world problems. But there still does not exist one algorithm that could solve the problems all. And most of the proposed algorithms have defects in
Yu-Jun Zhang +3 more
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Hybrid Harmony Search Algorithm With Grey Wolf Optimizer and Modified Opposition-Based Learning
IEEE Access, 2019 Most metaheuristic algorithms, including harmony search (HS), suffer from parameter selection. Many variants have been developed to cope with this problem and improve algorithm performance. In this paper, a hybrid algorithm of HS with grey wolf optimizer
Alaa A. Alomoush +4 more
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Using intelligent optimization methods to improve the group method of data handling in time series prediction [PDF]
, 2008 In this paper we show how the performance of the basic algorithm of the Group Method of Data Handling (GMDH) can be improved using Genetic Algorithms (GA) and Particle Swarm Optimization (PSO).
A. Episcopos +7 more
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CoRR, 2013 Swarm intelligence is a very powerful technique to be used for optimization purposes. In this paper we present a new swarm intelligence algorithm, based on the bat algorithm. The Bat algorithm is hybridized with differential evolution strategies.
Fister, DuĊĦan +2 more
openaire +4 more sources
A Grover Search-Based Algorithm for the List Coloring Problem
IEEE Transactions on Quantum Engineering, 2022 Graph coloring is a computationally difficult problem, and currently the best known classical algorithm for $k$-coloring of graphs on $n$ vertices has runtimes $\Omega (2^n)$ for $k\geq 5$.
Sayan Mukherjee
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The Rational Hybrid Monte Carlo Algorithm [PDF]
, 2005 The past few years have seen considerable progress in algorithmic development for the generation of gauge fields including the effects of dynamical fermions.
Clark, M. A.
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Applied Sciences, 2022 An Informed RRT* (IRRT*) algorithm is one of the optimized versions of a Rapidly-exploring Random Trees (RRT) algorithm which finds near-optimal solutions faster than RRT and RRT* algorithms by restricting the search area to an ellipsoidal subset of the ...
Daohua Wu +4 more
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