… This paper proposes a new particle swarm optimization assisted Biogeography-based …
Biogeography based optimization is an algorithm based on geographical distribution of a group of …

… This paper proposes a particle swarm optimization (PSO) based emotional neural network
(… the PSO-ANFIS model. There are two categories of the EmNNs: (i) brain emotional learning (…

… of Particle Swarm Optimization assisted Biogeography based optimization algorithms with
… , A new hybrid PSO assisted biogeographybased optimization for emotion and stress recog- …

… This study proposes a hybrid algorithm obtained by incorporating fireworks explosion
concept of Fireworks Algorithm into biogeography-based optimization. The hybrid algorithm is …

… of Biogeography Based Optimization is to compare the resultant picture and the query picture.
Biogeography-Based Optimization … Its applications include GA and PSO, which are mostly …

… biogeography-based optimization (BBO), and a new hybrid migrating BBO (HMBBO) algorithm,
which integrates the migration strategy with particle swarm optimization (PSO)… of the PSO …

… selection (FS) method using a hybrid of Golden Ratio Optimization (GRO) and Equilibrium …
new hybrid PSO assisted biogeographybased optimization for emotion and stress recognition …

… network classifier with weight optimization using fusion of optimization algorithms viz. BAT, …
to classify emotion state. ANN weights will be optimized with hybrid approach, ie PSO with …

… ) [11], biogeography-based optimization (BBO) [4], an efficient and robust fusion bat algorithm
(ERFBA) [17] and hybrid optimization like whale optimization … helped to identify the optimal …

… emotion and stress recognition using a hybrid Particle swarm optimization (PSO) and
Biogeography based optimization. … and the equation assists to update concentration is below here. …