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Hybridizing Particle Swarm Optimization and Differential Evolution for the Mobile Robot Global Path Planning

https://doi.org/10.5772/63812
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A Hybrid Particle Swarm with Differential Evolution Operator Approach (DEPSO) for Linear Array Synthesis
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Parameter selection in particle swarm optimization
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Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms
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Recent advances in differential evolution: a survey and experimental analysis
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Path planning of unmanned aerial vehicle based on improved gravitational search algorithm
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A locally convergent rotationally invariant particle swarm optimization algorithm
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Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization
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Multi-objective path planning in discrete space
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Clear and smooth path planning
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Chaotic predator–prey biogeography-based optimization approach for UCAV path planning
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A rank based particle swarm optimization algorithm with dynamic adaptation
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Empirical analysis of self-adaptive differential evolution
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Simulated annealing with adaptive neighborhood: A case study in off-line robot path planning
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Multi-robot path planning using co-evolutionary genetic programming
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Differential evolution based on truncated Lévy-type flights and population diversity measure to solve economic load dispatch problems
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A study of particle swarm optimization particle trajectories
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Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach
inferredcites →https://doi.org/10.1016/j.ins.2012.09.019openalex-snapshot
Adaptive population tuning scheme for differential evolution
inferredcites →https://doi.org/10.1016/j.neucom.2012.07.060openalex-snapshot
Research of biogeography particle swarm optimization for robot path planning
inferredcites →https://doi.org/10.1016/j.neucom.2012.09.019openalex-snapshot
Robot path planning in uncertain environment using multi-objective particle swarm optimization
inferredcites →https://doi.org/10.1016/j.neucom.2012.09.039openalex-snapshot
Imperialist competitive algorithm optimized artificial neural networks for UCAV global path planning
inferredcites →https://doi.org/10.1016/j.neucom.2013.04.020openalex-snapshot
An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots
inferredcites →https://doi.org/10.1016/j.neunet.2007.07.002openalex-snapshot
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
inferredcites →https://doi.org/10.1016/j.ress.2012.10.009openalex-snapshot
A new multi-objective particle swarm optimization method for solving reliability redundancy allocation problems
inferredcites →https://doi.org/10.1016/s0020-0190(02)00447-7openalex-snapshot
The particle swarm optimization algorithm: convergence analysis and parameter selection
inferredcites →https://doi.org/10.1080/00207721.2013.843735openalex-snapshot
Global path planning of mobile robots using a memetic algorithm
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/mhs.1995.494215openalex-snapshot
A new optimizer using particle swarm theory
inferredcites →https://doi.org/10.1109/tevc.2004.826071openalex-snapshot
Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients
inferredcites →https://doi.org/10.1109/tevc.2010.2059031openalex-snapshot
Differential Evolution: A Survey of the State-of-the-Art
inferredcites →https://doi.org/10.1109/tmag.2007.916279openalex-snapshot
Robust Optimization in HTS Cable Based on Design for Six Sigma
inferredcites →https://doi.org/10.1109/tro.2015.2459812openalex-snapshot
Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints
inferredcites →https://doi.org/10.1109/tsmcc.2011.2160941openalex-snapshot
Hybridizing Differential Evolution and Particle Swarm Optimization to Design Powerful Optimizers: A Review and Taxonomy
inferredcites →https://doi.org/10.1155/2629openalex-snapshot
Mathematical Problems in Engineering
inferredcites →https://doi.org/10.15837/ijccc.2015.5.2030openalex-snapshot
A Modified Membrane-Inspired Algorithm Based on Particle Swarm Optimization for Mobile Robot Path Planning
inferredcites →https://doi.org/10.35940/ijsceopenalex-snapshot
International Journal of Soft Computing and Engineering
inferredcites →https://doi.org/10.4304/jcp.6.8.1554-1561openalex-snapshot
Multi-objective Particle Swarm Optimization for Robot Path Planning in Environment with Danger Sources

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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