<p>The fitness value of various algorithms for Rastrigin and the Solomon problem during increasing iterative times.</p
<p>ANOVA on the coefficient of variation across time and comparing the three methods used to estimat...
<p>The optimization processes of the optimal solution with different algorithms.</p
Transient response performances of different recent and effective metaheuristic algorithms.</p
<p>The fitness value of various algorithms for Quartic and Sum squares during increasing iterative t...
<p>The fitness value of various algorithms for Ackley and Griewank during increasing iterative times...
<p>A comparison of optimal fitness solutions in generations (iteration times).</p
<p>The comparison solving time (s) of two algorithms with coefficient varying.</p
New instances based on three instances in the Solomon benchmark (C, R, and RC).</p
<p>The fitness values obtained from different methods for non-biological datasets.</p
<p>The fitness of the population (normalized to the overall best individual) as a function of the ge...
Performance statistics of the tested algorithms at different activity levels.</p
<p>Progressive performance of genetic algorithm generations till optimum solution is achieved.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the use...
<p>Convergence performance on the Rastrigin function with different dimensions.</p
<p>ANOVA on the coefficient of variation across time and comparing the three methods used to estimat...
<p>The optimization processes of the optimal solution with different algorithms.</p
Transient response performances of different recent and effective metaheuristic algorithms.</p
<p>The fitness value of various algorithms for Quartic and Sum squares during increasing iterative t...
<p>The fitness value of various algorithms for Ackley and Griewank during increasing iterative times...
<p>A comparison of optimal fitness solutions in generations (iteration times).</p
<p>The comparison solving time (s) of two algorithms with coefficient varying.</p
New instances based on three instances in the Solomon benchmark (C, R, and RC).</p
<p>The fitness values obtained from different methods for non-biological datasets.</p
<p>The fitness of the population (normalized to the overall best individual) as a function of the ge...
Performance statistics of the tested algorithms at different activity levels.</p
<p>Progressive performance of genetic algorithm generations till optimum solution is achieved.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the use...
<p>Convergence performance on the Rastrigin function with different dimensions.</p
<p>ANOVA on the coefficient of variation across time and comparing the three methods used to estimat...
<p>The optimization processes of the optimal solution with different algorithms.</p
Transient response performances of different recent and effective metaheuristic algorithms.</p
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