Rank: 227 based on 236 downloads (last 30 days) and 3 files submitted
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Seyedali Mirjalili

E-mail
Company/University
Griffith University

Personal Profile:
Professional Interests:
Multi-objective optimization, Robust optimization, Swarm intelligence, Computational intelligence

 

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02 Jul 2013 Screenshot Enhanced Binary Particle Swarm Optimization (BPSO) with 6 new transfer functions An Enhanced binary Particle Swarm Optimization algorithm (VPSO) with v-shaped transfer functions Author: Seyedali Mirjalili particle swarm optimi..., pso, binary particle swarm..., discrete particle swa..., bpso, discrete optimization 72 0
01 Jul 2013 Screenshot Improved Feedforward Neural Networks Using PSOGSA This program is an improved Feedforward Neural Network using a hybrid algorithm called PSOGSA. Author: Seyedali Mirjalili optimization, particle swarm optimi..., pso, gravitational search ..., gsa, neural networks 98 2
  • 4.0
4.0 | 1 rating
02 Apr 2012 Screenshot Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) PSOGSA is the efficient combination of PSO and GSA. Author: Seyedali Mirjalili psogsa, hybrid pso and gsa, hybrid particle swarm..., particle swarm optimi..., gravitational search ..., optimization 66 2
  • 4.0
4.0 | 1 rating
Comments and Ratings by Seyedali View all
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30 Jul 2013 Improved Feedforward Neural Networks Using PSOGSA This program is an improved Feedforward Neural Network using a hybrid algorithm called PSOGSA. Author: Seyedali Mirjalili

Hi Giovanni,

if actualvalue=[1 0 0] then Iris class = 1 (-1 normalized )
if actualvalue=[0 1 0] then Iris class = 2 (0 normalized)
if actualvalue=[0 0 1] then Iris class = 3 (1 normalized)

Let me know if I can be of more assistance.

Regards,
Ali

15 Apr 2013 Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) PSOGSA is the efficient combination of PSO and GSA. Author: Seyedali Mirjalili

Hi Ben,

That is for calculating the inertia mass. ( Equation 16 in "GSA: A Gravitational Search Algorithm”, Information sciences, vol. 179, no. 13, pp. 2232-2248, 2009."

1. Yes, you are codes are correct, sum of the masses should be calculated before the loop.
2. Yes its a free parameter. You can utilize 1 as well.

Regards,
Ali

Comments and Ratings on Seyedali's Files View all
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30 Jul 2013 Improved Feedforward Neural Networks Using PSOGSA This program is an improved Feedforward Neural Network using a hybrid algorithm called PSOGSA. Author: Seyedali Mirjalili Mirjalili, Seyedali

Hi Giovanni,

if actualvalue=[1 0 0] then Iris class = 1 (-1 normalized )
if actualvalue=[0 1 0] then Iris class = 2 (0 normalized)
if actualvalue=[0 0 1] then Iris class = 3 (1 normalized)

Let me know if I can be of more assistance.

Regards,
Ali

30 Jul 2013 Improved Feedforward Neural Networks Using PSOGSA This program is an improved Feedforward Neural Network using a hybrid algorithm called PSOGSA. Author: Seyedali Mirjalili Giovanni

Hi, the iris.txt contains 4x150 inputs and 1x150 outputs.Not clear to me how to build the calculated output, since "actualvalue" is a 1x3 vector, since the output is a single value, how do I compare, which formula I must apply to each row of the "actualvalue" matrix to compare with single output in iris.txt file ?

15 Apr 2013 Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) PSOGSA is the efficient combination of PSO and GSA. Author: Seyedali Mirjalili Mirjalili, Seyedali

Hi Ben,

That is for calculating the inertia mass. ( Equation 16 in "GSA: A Gravitational Search Algorithm”, Information sciences, vol. 179, no. 13, pp. 2232-2248, 2009."

1. Yes, you are codes are correct, sum of the masses should be calculated before the loop.
2. Yes its a free parameter. You can utilize 1 as well.

Regards,
Ali

04 Feb 2013 Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) PSOGSA is the efficient combination of PSO and GSA. Author: Seyedali Mirjalili Ben

Hi Seyedali,

I have two questions on your code so far.

1. I was wondering whether the following code is what you want to do as the variable "mass" is changing during each iteration.

line 100 at PSOGSA.m

for i=1:n
mass(i)=mass(i)*5/sum(mass);
end

Should above be the below?

sum_mass = sum(mass);
for i=1:n
mass(i)=mass(i)*5/sum_mass;
end

2. Where the number "5" come from? Is it a free parameter from your experience? Or is there an adaptive manner to set the factor (instead of using "5")?

Thanks,
Ben

02 Apr 2012 Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) PSOGSA is the efficient combination of PSO and GSA. Author: Seyedali Mirjalili Tan, Wen Shan

Top Tags Applied by Seyedali
optimization, particle swarm optimization, pso, gravitational search algorithm, heuristics
Files Tagged by Seyedali View all
Updated   File Tags Downloads
(last 30 days)
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02 Jul 2013 Screenshot Enhanced Binary Particle Swarm Optimization (BPSO) with 6 new transfer functions An Enhanced binary Particle Swarm Optimization algorithm (VPSO) with v-shaped transfer functions Author: Seyedali Mirjalili particle swarm optimi..., pso, binary particle swarm..., discrete particle swa..., bpso, discrete optimization 72 0
01 Jul 2013 Screenshot Improved Feedforward Neural Networks Using PSOGSA This program is an improved Feedforward Neural Network using a hybrid algorithm called PSOGSA. Author: Seyedali Mirjalili optimization, particle swarm optimi..., pso, gravitational search ..., gsa, neural networks 98 2
  • 4.0
4.0 | 1 rating
02 Apr 2012 Screenshot Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) PSOGSA is the efficient combination of PSO and GSA. Author: Seyedali Mirjalili psogsa, hybrid pso and gsa, hybrid particle swarm..., particle swarm optimi..., gravitational search ..., optimization 66 2
  • 4.0
4.0 | 1 rating
17 Jan 2009 Screenshot Spider plot tool Plots matrix column data in a spider plot. Author: michael arant radar plot, spider plot 31 7
  • 4.75
4.8 | 4 ratings

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