A chaos-based evolutionary algorithm for general nonlinear programming problems

Development of a price optimization algorithm using inverse calculations

“…An option to overcome such difficulties is use of stochastic methods based on direct random search [20], application of evolutionary mechanisms [21], etc. In this case, the formation of an optimized modified function does not occur.…”

Chaotic Particle Swarm Optimization for Imprecise Combined Economic and Emission Dispatch Problem

“…Parents are selected from the population based on its rank. The selected parents generate new offspring using GA operator [36].…”

Computational Modeling of Biosynthesized Gold Nanoparticles in Black Camellia sinensis Leaf Extract

“…In recent years, with the aim to overcome the drawbacks of backpropagationbased training of ANNs, such as slow convergence rate, large computational time, and getting stuck at local minima, some of evolutionary optimization algorithms, such as the genetic algorithm [11], the particle swarm optimization method [15,16], and artificial bee colony [17], have been applied for training ANN and others [18,19]. Also, the chaos theory [20] has been used to many aspects of the optimization science [21][22][23][24][25]. The chaotic maps can improve optimization algorithms by the ability of escaping to fall in local solutions and increasing the speed of convergence to reach global solution [26].…”