Pyramid particle swarm optimization with novel strategies of competition and cooperation
Particle swarm optimization (PSO) has shown its advantages in various optimization
problems. Topology and updating strategies are among its key concepts and have …
problems. Topology and updating strategies are among its key concepts and have …
Proximity ranking-based multimodal differential evolution
Multimodal optimization aiming at locating multiple global optima at a time has received
extensive attention from researchers since it can afford multiple choices for decision-makers …
extensive attention from researchers since it can afford multiple choices for decision-makers …
An integrated approach of ensemble learning methods for stock index prediction using investor sentiments
It has been evidenced by numerous studies that irrational investor sentiment is one of the
critical factors leading to dramatic volatility in financial market prices. Therefore, how to …
critical factors leading to dramatic volatility in financial market prices. Therefore, how to …
A novel hybrid particle swarm optimization using adaptive strategy
R Wang, K Hao, L Chen, T Wang, C Jiang - Information Sciences, 2021 - Elsevier
Particle swarm optimization (PSO) has been employed to solve numerous real-world
problems because of its strong optimization ability and easy implementation. However, PSO …
problems because of its strong optimization ability and easy implementation. However, PSO …
An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization
Multimodal multi-objective problems (MMOPs) arise frequently in the real world, in which
multiple Pareto optimal solution (PS) sets correspond to the same objective set. Traditional …
multiple Pareto optimal solution (PS) sets correspond to the same objective set. Traditional …
Spherical search algorithm with adaptive population control for global continuous optimization problems
Spherical search algorithm (SSA) calculates the spherical boundary and generates new
solutions on it by two sub-populations jointly. Many researches have shown that SSA is a …
solutions on it by two sub-populations jointly. Many researches have shown that SSA is a …
Stochastic cognitive dominance leading particle swarm optimization for multimodal problems
Optimization problems become increasingly complicated in the era of big data and Internet
of Things, which significantly challenges the effectiveness and efficiency of existing …
of Things, which significantly challenges the effectiveness and efficiency of existing …
Hybrid particle swarm optimizer with fitness-distance balance and individual self-exploitation strategies for numerical optimization problems
K Zheng, X Yuan, Q Xu, L Dong, B Yan, K Chen - Information Sciences, 2022 - Elsevier
Due to the simplicity of the learning strategy, the original particle swarm optimization (PSO)
has various deficiencies, such as entrapment in local optima, rapid loss of diversity and a …
has various deficiencies, such as entrapment in local optima, rapid loss of diversity and a …
Stochastic triad topology based particle swarm optimization for global numerical optimization
Particle swarm optimization (PSO) has exhibited well-known feasibility in problem
optimization. However, its optimization performance still encounters challenges when …
optimization. However, its optimization performance still encounters challenges when …