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Firstly, the algorithm uses multi-step learning to select historical elite individuals. The elites will guide the movement of fireflies. Secondly, if the elite ...
multi-step preferred elite-guided firefly algorithm (MPEFA) is proposed. Firstly, the algorithm uses multi-step learning to select historical elite individuals.
[Show full abstract] strategy, a randomly guided firefly algorithm (ERaFA) is proposed. In this algorithm, for improving the convergence speed, an elitist ...
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Sep 2, 2022 · Multi-step preferred elite-guided firefly algorithm. 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI); ...
The method can select suitable search strategies in different search stages and coordinate the balance of strategies so that better results can be obtained.
Missing: preferred | Show results with:preferred
In this algorithm, for improving the convergence speed, an elitist attraction model is developed based on random selection from elite fireflies, which can lead ...
Real-time detection tracking and recognition algorithm based on multi-target faces. ... Multi-step preferred elite-guided firefly algorithm. ICTAI 2021: 284-288 ...
Nov 16, 2022 · Multi-objective firefly algorithm based on compensation factor and elite learning. ... stage evolutionary algorithm for better diversity ...
A novel MOEA with equilibrium of convergence and diversity is proposed. •. A strategy for generating uniformly distributed initial solutions is proposed.
Missing: step | Show results with:step
Sep 9, 2019 · In this algorithm, for improving the convergence speed, an elitist attraction model is developed based on random selection from elite fireflies, ...