Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm by Chen Qi (2803873)

“…Parafoils’ paths are encoded by real matrix, and the cooperative relationship between parafoils is realized by paths fitness function. The random single point crossover and Gaussian mutation are introduced to accelerate algorithm convergence rate. …”

The comparison for the number of the objective function against the number of iterations. by Jamilu Sabi’u (18794062)

The SVM objective function minimization against iterations. by Ali Ahmed (2567584)

Performance SDYM against SCGP, SRMIL, and MDY for function evaluations. by Jamilu Sabi’u (18794062)

The comparison for the number of the objective function against processing time (seconds). by Jamilu Sabi’u (18794062)

Comparative statistical results obtained against benchmark functions. by Serdar Ekinci (15927455)

Sensitivity of the system with respect to variation of l 2% of the functions . by Mario Saviano (17389551)

The SSA based SVM objective function minimization against iterations. by Ali Ahmed (2567584)

MSE of PFP-WGAN and PFP-S against grandtruth. by Seyyede Fatemeh Seyyedsalehi (10196767)

Subnetwork clusters of identified targets for TFDM against CIRI obtained using MCODE algorithm. by Xu Hu (23350)

Proportional survival plot of asymptotic, linear, logistic, and pseudo-gamma functional forms against growth time. by Ryu B. Lippmann (14797597)

Events committed by and against Al-Shabaab. by Rafael Prieto-Curiel (16993295)

Rate of events by and against Boko Haram. by Rafael Prieto-Curiel (16993295)

Shocks of events committed against Boko Haram. by Rafael Prieto-Curiel (16993295)

Observed distributions of ARI ×100 from the FRECL partition after consensus clustering; against the number of runs. by Susana Conde (5495675)

p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from table 1 with 1000 dimensions. by Aijun Zhu (822068)

“…<p>p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from table <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0251204#pone.0251204.t001" target="_blank">1</a> with 1000 dimensions.…”

p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from Table 1 with 30 dimensions. by Aijun Zhu (822068)

“…<p>p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0251204#pone.0251204.t001" target="_blank">Table 1</a> with 30 dimensions.…”

p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from Table 1 with 100 dimensions. by Aijun Zhu (822068)

“…<p>p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0251204#pone.0251204.t001" target="_blank">Table 1</a> with 100 dimensions.…”

Proposed algorithm. by Keenjhar Ayoob (22339616)

Line plots with the ARI for the simulations with one replicate against the number of clusters for FRECL and the five alternative methods for simulated data sets. by Susana Conde (5495675)