Exact(24)
In this paper, we propose a novel version of EAs, bird mating optimizer (BMO), for continuous optimization problems which is inspired by mating strategies of bird species during mating season.
Therefore, this work constructed a controller with artificial intelligence technology by first using an artificial neural network as the predictor and then using the traveling particle swarm optimizer that is ideal for continuous optimization problems as the algorithm for optimization.
These results show the high potential ACO algorithms have for continuous optimization and suggest that automatic algorithm configuration is a viable approach for designing state-of-the-art continuous optimizers.
We test this new proposal in a set of benchmark functions for continuous optimization problems.
Also, it is the significant ant-based algorithm for continuous optimization.
In this article, we propose UACOR, a unified ant colony optimization (ACO) algorithm for continuous optimization.
Similar(36)
The GSO algorithm was also used to find the optimal solution for the continuous optimization problem.
The original firefly algorithm has been used for solving continuous optimization problems.
Particle swarm optimization (PSO) is a popular nature-inspired meta-heuristic for solving continuous optimization problems.
Gravitational Search Algorithm GSAA) is a stochastic population-based metaheuristic designed for solving continuous optimization problems.
The "firefly algorithm" (FA) is a nature-inspired technique originally designed for solving continuous optimization problems.
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