A particle swarm optimization algorithm for makespan and total flowtime minimization in the permutation flowshop sequencing problem

MF Tasgetiren, YC Liang, M Sevkli… - European journal of …, 2007 - Elsevier
In this paper, a particle swarm optimization algorithm (PSO) is presented to solve the
permutation flowshop sequencing problem (PFSP) with the objectives of minimizing …

A novel binary particle swarm optimization

MA Khanesar, M Teshnehlab… - … conference on control …, 2007 - ieeexplore.ieee.org
Particle swarm optimization (PSO) as a novel computational intelligence technique, has
succeeded in many continuous problems. But in discrete or binary version there are still …

A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem

QK Pan, MF Tasgetiren, YC Liang - Computers & Operations Research, 2008 - Elsevier
In this paper, a discrete particle swarm optimization (DPSO) algorithm is presented to solve
the no-wait flowshop scheduling problem with both makespan and total flowtime criteria. The …

Capacitor placement of distribution systems using particle swarm optimization approaches

CS Lee, HVH Ayala, L dos Santos Coelho - International Journal of …, 2015 - Elsevier
Capacitor placement plays an important role in distribution system planning and operation.
In distribution systems of electrical energy, banks of capacitors are widely installed to …

A demand side management based simulation platform incorporating heuristic optimization for management of household appliances

N Gudi, L Wang, V Devabhaktuni - … Journal of Electrical Power & Energy …, 2012 - Elsevier
Demand-Side Management (DSM) can be defined as the implementation of policies and
measures to control, regulate, and reduce energy consumption. This paper introduces …

Mathematicle modelling and applications of particle swarm optimization

S Talukder - 2011 - diva-portal.org
Optimization is a mathematical technique that concerns the finding of maxima or minima of
functions in some feasible region. There is no business or industry which is not involved in …

Particle swarm optimization-based feature selection in sentiment classification

L Shang, Z Zhou, X Liu - Soft Computing, 2016 - Springer
Sentiment classification is one of the important tasks in text mining, which is to classify
documents according to their opinion or sentiment. Documents in sentiment classification …

Particle swarm optimization inspired probability algorithm for optimal camera network placement

Y Morsly, N Aouf, MS Djouadi… - IEEE Sensors …, 2011 - ieeexplore.ieee.org
In this paper, a novel method based on binary Particle Swarm Optimization (BPSO) inspired
probability is proposed to solve the camera network placement problem. Ensuring accurate …

Fuzzy resource-constrained project scheduling with multiple routes: A heuristic solution

A Birjandi, SM Mousavi - Automation in Construction, 2019 - Elsevier
The resource-constrained project scheduling problem (RCPSP) with multiple routes by
considering flexible activities is one of important subjects in project scheduling problems …

离散微粒群优化算法的研究进展

潘全科, 王凌, 高亮 - 控制与决策, 2009 - cqvip.com
离散微粒群优化算法的研究进展-[维普官方网站]-www.cqvip.com-维普网  我的维普 购物车 充值
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