Particle Swarm Optimization Method for Constrained Optimization Problems
By Konstantinos E. Parsopoulos, Michael N. Vrahatis. 2002
465 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/102300b325dd8764597077aff90aec158385e31e
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Citations in the corpus
- Optimal coordination of overcurrent relays using a modified particle swarm optimization (2006, background): “A roper value of the inertia weight provides a balance between he global and local exploration [8].”
- Resource Management in Fog/Edge Computing (2018, methodology): “The study adopted Particle Swarm Optimization - Constrained Optimization (PSO-CO) [136] for load-balancing to decrease latency and effectively achieve the required quality of service (QoS) for vehicles.”
- Swarm Intelligence in Optimization (2008, unknown): “Parsopoulos and Vrahatis proposed a PSO where non-stationary penalty functions are used [136].”
- Particle Swarm Methods (2018, methodology): “The Canonical PSO has been combined with such a penalty function defined as follows [98, 159],”
- A derivative-free methodology with local and global search for the constrained joint optimization of well locations and controls (2014, background): “For treating general (nonlinear) constraints, global stochastic search methods typically employ techniques that either discard infeasible solutions (and thus only consider feasible solutions), as in [26], or they apply penalty function approaches, as in [14] and [37].”
- Artificial bee colony algorithm for large-scale problems and engineering design optimization (2010, background): “Although the use of penalty functions is very common since its simplicity and directapplicability(SmithandCoit1997;CoelloCoello1999; Yeniay 2005; Parsopoulos and Vrahatis 2002), they have several drawbacks, too.”
- Well placement optimization subject to realistic field development constraints (2016, background): “The most common way to incorporate constraints into the PSO algorithm is a penalty function [40].”
- An improved particle swarm optimizer for mechanical design optimization problems (2004, background): “Parsopoulos and Vrahatis [22] incorporated a nonstationary multi-stage assignment penalty function into PSO.”