A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
, 2009 Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
AS Uyar +25 more
core +4 more sources
Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem [PDF]
, 2008 Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
AS Tanenbaum +19 more
core +2 more sources
AMPSO: Artificial Multi-Swarm Particle Swarm Optimization
, 2020 In this paper we propose a novel artificial multi-swarm PSO which consists of an exploration swarm, an artificial exploitation swarm and an artificial convergence swarm. The exploration swarm is a set of equal-sized sub-swarms randomly distributed around the particles space, the exploitation swarm is artificially generated from a perturbation of the ...
Zhou, Haohao +3 more
openaire +2 more sources
An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Advances in Mechanical Engineering, 2018 Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed.
Xiabao Huang, Zailin Guan, Lixi Yang
doaj +1 more source
Optimization of Bi-Directional V2G Behavior With Active Battery Anti-Aging Scheduling [PDF]
, 2020 The bi-directional linkage between the power grid and electric vehicles (EVs) enables flexible, cheap and fast-responding use of vehicle batteries in the grid. However, the battery aging effects due to the additional operation cycles caused by Vehicle-to-
Li, Jianwei +3 more
core +1 more source
A Multi-Swarm Cellular PSO based on Clonal Selection Algorithm in Dynamic Environments
, 2012 Many real-world problems are dynamic optimization problems. In this case, the optima in the environment change dynamically. Therefore, traditional optimization algorithms disable to track and find optima.
Meybodi, Mohammd Reza +2 more
core +1 more source
Multi-objective discrete particle swarm optimisation algorithm for integrated assembly sequence planning and assembly line balancing [PDF]
, 2016 In assembly optimisation, assembly sequence planning and assembly line balancing have been extensively studied because both activities are directly linked with assembly efficiency that influences the final assembly costs.
Ab Rashid, Mohd Fadzil Faisae +2 more
core +1 more source
Expansion of Particle Multi-Swarm Optimization
Artificial Intelligence Research, 2018 For improving the search ability and performance of elementary multiple particle swarm optimizers, we, in this paper, propose a series of multiple particle swarm optimizers with information sharing by introducing a special strategy,called multi-swarm information sharing.
openaire +2 more sources
Particle Swarm Optimization Based Source Seeking [PDF]
, 2015 Signal source seeking using autonomous vehicles is a complex problem. The complexity increases manifold when signal intensities captured by physical sensors onboard are noisy and unreliable.
Bhattacharya, Sourabh +6 more
core +5 more sources
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source