64 research outputs found
A New Metaheuristic Bat-Inspired Algorithm
Metaheuristic algorithms such as particle swarm optimization, firefly
algorithm and harmony search are now becoming powerful methods for solving many
tough optimization problems. In this paper, we propose a new metaheuristic
method, the Bat Algorithm, based on the echolocation behaviour of bats. We also
intend to combine the advantages of existing algorithms into the new bat
algorithm. After a detailed formulation and explanation of its implementation,
we will then compare the proposed algorithm with other existing algorithms,
including genetic algorithms and particle swarm optimization. Simulations show
that the proposed algorithm seems much superior to other algorithms, and
further studies are also discussed.Comment: 10 pages, 2 figure
An improved version of Inverse Distance Weighting metamodel assisted Harmony Search algorithm for truss design optimization
Multiple roots of systems of equations by repulsion merit functions
In this paper we address the problem of computing multiple roots of a system of nonlinear equations through the global optimization of an appropriate merit function. The search procedure for a global min- imizer of the merit function is carried out by a metaheuristic, known as harmony search, which does not require any derivative information. The multiple roots of the system are sequentially determined along several ite- rations of a single run, where the merit function is accordingly modified by penalty terms that aim to create repulsion areas around previously computed minimizers. A repulsion algorithm based on a multiplicative kind penalty function is proposed. Preliminary numerical experiments with a benchmark set of problems show the effectiveness of the proposed method.Fundação para a Ciência e a Tecnologia (FCT
Research trends in combinatorial optimization
Acknowledgments This work has been partially funded by the Spanish Ministry of Science, Innovation, and Universities through the project COGDRIVE (DPI2017-86915-C3-3-R). In this context, we would also like to thank the Karlsruhe Institute of Technology. Open access funding enabled and organized by Projekt DEAL.Peer reviewedPublisher PD
Population Variance Harmony Search Algorithm to Solve Optimal Power Flow with Non-Smooth Cost Function
- …