LICHTENBERG ALGORITHM (LA)
This is a novel global optimization algorithm called Lichtenberg Algorithm (LA). A fastest optimization algorithm.
This is a novel global optimization algorithm called Lichtenberg Algorithm (LA), inspired by the Lichtenberg figures patterns. Actual problems may be multimodal, nonlinear, and discontinuous and may not be minimized by classical analytical methods that depend on the gradient. In this context there are metaheuristics algorithms inspired by natural phenomena to optimize real problems. There is no algorithm that is the worst or the best, but more efficient for a given type of problem. Thus, an unprecedented metaheuristic algorithm was created inspired by the physical phenomenon of radial intra-cloud lightning and Lichtenberg figures, successfully exploiting the fractal power and it is different from many in the literature as it is a hybrid algorithm composed of methods of search based on population and trajectory. LA shown to be a powerful optimization tool for both unconstraint optimizations and real problems with linear and nonlinear constraints.
引用格式
Pereira, João Luiz Junho, et al. “Lichtenberg Algorithm: A Novel Hybrid PHYSICS-Based Meta-Heuristic For Global Optimization.” Expert Systems with Applications, Elsevier BV, Dec. 2020, p. 114522, doi:10.1016/j.eswa.2020.114522.
| 版本 | 已发布 | 发行说明 | Action |
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| 12.0.0 | This version fixs some little rotation problems. |
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| 10.0.0 | Cleaner code with easier constraints addition |
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| 8.0.0 | This release fixes an issue in old code in optimizing problems with more than 10 variables. |
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| 6.0.0 | This is the lastest version to mono-objective optimization |
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| 5.0.0 | This is the lastest version to mono-objective optimization |
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| 4.0.0 | This is the lastest version to mono-objective optimization |
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| 1.0.0 |
