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A New Discrete Particle Swarm Optimization Algorithm

https://doi.org/10.1145/2908812.2908935
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Computational Intelligence
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Estimation of Distribution Algorithms
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Discrete Particle Swarm Optimization, illustrated by the Traveling Salesman Problem
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EDA-PSO: A Hybrid Paradigm Combining Estimation of Distribution Algorithms and Particle Swarm Optimization
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Particle Swarm Optimization in the EDAs Framework
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Genetic Algorithms + Data Structures = Evolution Programs
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Genetic Algorithms + Data Structures = Evolution Programs
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Origins of Order in Evolution: Self-Organization and Selection
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Incorporating domain-specific heuristics in a particle swarm optimization approach to the quadratic assignment problem
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The origins of order; self organization and selection in evolution
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A hybrid particle swarm optimization for job shop scheduling problem
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Particle swarm optimization for task assignment problem
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The Origins of Order
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Comparing inertia weights and constriction factors in particle swarm optimization
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Combining Particle Swarm Optimisation with angle modulation to solve binary problems
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A parallel BOA-PSO hybrid algorithm for history matching
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A Discrete Estimation of Distribution Particle Swarm Optimization for Combinatorial Optimization Problems
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A discrete binary version of the particle swarm algorithm
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An Estimation of Distribution Improved Particle Swarm Optimization Algorithm
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Probabilistically Driven Particle Swarms for Optimization of Multi Valued Discrete Problems : Design and Analysis
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Fitness function evaluations: A fair stopping condition?
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Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005.
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IEEE Congress on Evolutionary Computation
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A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems
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Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid
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Algorithms for Solving Production-Scheduling Problems

What points at this work

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

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