This paper presents a newly developed algorithm formulated based on a synergy between a mathematical sine equation and a spiral equation. The sine formula is taken from Sine-Cosine Algorithm (SCA) while the spiral equation is adopted from Spiral Dynamic Algorithm (SDA). The synergy combines a deterministic approach from SDA and a random approach from SCA. In the hybrid strategy, all agents update their position either via sine based or spiral based position update equation. The proposed hybrid algorithm is tested in comparison to SDA and SCA on various benchmark functions. A convergence plot and accuracy achievement are recorded and compared. In term of a real world application, the algorithm is applied to optimize a parametric model of an ...
The proposed method considers flexibility of the structure located in the transmission units between...
This paper presents a hybrid optimization algorithm referred to as Hybrid spiral dynamics bacterial ...
In this paper, a new hybrid time-optimal flexible joint trajectory planning algorithm is introduced....
This paper presents an exponential-based spiral dynamic algorithm (SDA) as an improved version of th...
This paper presents a novel adaptive spiral dynamic algorithm for global optimization. Through a spi...
This paper presents a novel hybrid optimisation algorithm namely HBCSD, which synergises a bacterial...
This paper presents an improved version of a Spiral Dynamic Algorithm (SDA). The original SDA is a r...
This paper presents hybrid spiral-dynamic bacteria-chemotaxis algorithms for global optimisation and...
This paper presents a Hybrid Spiral and Sine-Cosine Algorithm (SSCA). Sine-Cosine algorithm (SCA) is...
© 2014 Elsevier B.V. All rights reserved. This paper presents hybrid spiral-dynamic bacteria-chemota...
This paper presents three novel hybrid optimization algorithms based on bacterial foraging and spira...
This paper presents a novel multi-objective Spiral Dynamic Optimization (MOSDA) algorithm. It is an ...
A novel hybrid strategy combining a spiral dynamic algorithm (SDA) and a bacterial foraging algorith...
This paper presents the development of an improved spiral dynamic optimization algorithm with applic...
This paper presents the development of an improved spiral dynamic optimization algorithm with applic...
The proposed method considers flexibility of the structure located in the transmission units between...
This paper presents a hybrid optimization algorithm referred to as Hybrid spiral dynamics bacterial ...
In this paper, a new hybrid time-optimal flexible joint trajectory planning algorithm is introduced....
This paper presents an exponential-based spiral dynamic algorithm (SDA) as an improved version of th...
This paper presents a novel adaptive spiral dynamic algorithm for global optimization. Through a spi...
This paper presents a novel hybrid optimisation algorithm namely HBCSD, which synergises a bacterial...
This paper presents an improved version of a Spiral Dynamic Algorithm (SDA). The original SDA is a r...
This paper presents hybrid spiral-dynamic bacteria-chemotaxis algorithms for global optimisation and...
This paper presents a Hybrid Spiral and Sine-Cosine Algorithm (SSCA). Sine-Cosine algorithm (SCA) is...
© 2014 Elsevier B.V. All rights reserved. This paper presents hybrid spiral-dynamic bacteria-chemota...
This paper presents three novel hybrid optimization algorithms based on bacterial foraging and spira...
This paper presents a novel multi-objective Spiral Dynamic Optimization (MOSDA) algorithm. It is an ...
A novel hybrid strategy combining a spiral dynamic algorithm (SDA) and a bacterial foraging algorith...
This paper presents the development of an improved spiral dynamic optimization algorithm with applic...
This paper presents the development of an improved spiral dynamic optimization algorithm with applic...
The proposed method considers flexibility of the structure located in the transmission units between...
This paper presents a hybrid optimization algorithm referred to as Hybrid spiral dynamics bacterial ...
In this paper, a new hybrid time-optimal flexible joint trajectory planning algorithm is introduced....