Saremi, S., Mirjalili, S., Lewis, A.: Biogeography-based optimisation with chaos. Neural Comput. Appl. (2014), doi:10.1007/s00521-014-1597-xSaremi S, Mirjalili S, Lewis A (2014) Biogeography-based optimisation with chaos. Neural Comput Appl 25:1077-1097...
Biogeography-based OptimisationDisplacementHazardEarthquake can pose earth-shattering health hazards to the natural slops and land infrastructures. One of the chief consequences of the earthquakes can be land sliding, which is instigated by durable shaking. In this research, an efficient procedure is ...
Another variant of DE used to identify PV parameters has been proposed in [28], this proposed algorithm is based on an adaptation of the DE technique (DET). The adaption is achieved through crossover and mutation factors. DVADE is compared to GA, chaos particle swarm optimization (CPSO), ...
Hybridizing Adaptive Biogeography-Based Optimization with Differential Evolution for Motif Discovery Problem. Sens. Transducers 2014, 162, 233–237. 16. Chutima, P.; Wong, N. A Pareto biogeography-based optimisation for multi objective two-sided assembly line sequencing problems with a learning effect...
Another variant of DE used to identify PV parameters has been proposed in [28], this proposed algorithm is based on an adaptation of the DE technique (DET). The adaption is achieved through crossover and mutation factors. DVADE is compared to GA, chaos particle swarm optimization (CPSO), ...
A particle-based optimization of artificial neural network for earthquake-induced landslide assessment in Ludian county, China. Geomat. Nat. Hazards Risk 2019, 10, 1750–1771. [Google Scholar] [CrossRef] [Green Version] Saremi, S.; Mirjalili, S.; Lewis, A. Grasshopper Optimisation Algorithm:...
Another variant of DE used to identify PV parameters has been proposed in [28], this proposed algorithm is based on an adaptation of the DE technique (DET). The adaption is achieved through crossover and mutation factors. DVADE is compared to GA, chaos particle swarm optimization (CPSO), ...