Titlebook: Bio-inspired Computing: Theories and Applications; 14th International C Linqiang Pan,Jing Liang,Boyang Qu Conference proceedings 2020 Sprin

prosthesis

Brain Storm Optimization Algorithm with Estimation of Distributionnd large-scale optimization problems. However, when the BSO algorithm deals with the complex problems, there are still some disadvantages, such as the slow speed of the search algorithm for the late, premature convergence and easy to fall into local optimal solutions and so on. In order to solve the

休閑

路標(biāo)

Microgrid Frequency Control Based on Genetic and Fuzzy Logic Hybrid Optimizationation of microgrid, are affected directly by the frequency. Most modern microgrid contains a large number of intermittent renewable energy generation, this generation units have small capacity, many quantity, larger environmental and user load disturbance, strong nonlinear and unpredictable. The tra

飲料

Using Multi-objective Particle Swarm Optimization to Solve Dynamic Economic Emission Dispatch Considtation, electric vehicle (EV) can not only save energy, but also protect the environment. However, the large-scale development of EVs will increase the load pressure on the power grid. Therefore, in order to deal with the rapid development of wind power and EVs, a multi-objective dynamic economic em

Somber

Evolutionary Optimization of Three-Degree Influence Spread in Social Networks Based on Discrete Bact influence spread invoked by the k nodes in the network is maximized. The traditional approaches for resolving influence maximization, including Greedy, Distance, DegreeDiscount and PageRank, usually suffer from several drawbacks, such as high computational cost and unstable accuracy. In this paper,

STYX

Ant Colony Algorithm Based on Upper Bound of Nodes for Robot Path Planning Problemsmproved ant colony algorithm is proposed in this paper. In the proposed algorithm, the upper bound of path nodes is adjusted and the grid map mode is integrated. The upper bound of nodes are adjusted for driving the optimization process of algorithm. Experiment simulation is carried out based on two

Outshine

Adaptive Brain Storm Optimization Based on Learning Automatainal BSO may suffer from getting trapped into local optima, due to its fixed search pattern and fixed step-size disturbance mode. Aiming to address this issue, this paper proposes Adaptive Brain Storm Optimization Based on Learning Automata called LABSO to resolve complex optimization problems. The

未完成

A Reference Point-Based Evolutionary Algorithm for Many-Objective Fuzzy Portfolio Selections, kurtosis, and entropy) model to replace the classical Markowitz mean-variance model for finding better portfolio selection. To obtain a more accurate estimation of risk asset returns, a fuzzy number variable, instead of a random variable, based on the acknowledge of experts is used to estimate th

anniversary

Soliloquy