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Hovering Swarm Particle Swarm Optimization [PDF]
PSO is a simple and yet powerful metaheuristic search algorithm widely used to solve various optimization problems. Nevertheless, conventional PSO tends to lose its population diversity drastically and suffer with compromised performance when ...
Aasam Abdul Karim +2 more
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Memetic particle swarm optimization
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K E Parsopoulos +2 more
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Logistics Transportation Time Optimization Based on Fuzzy Particle Swarm Optimization [PDF]
The fuzzy particle swarm optimization (FPSO-RRB- algorithm is used to solve the logistics transportation time optimization problem, a three-dimensional particle coding method based on receiving point, particle position sequence and particle position ...
Zhang Bingqing
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Multi-controller Deployment Strategy Based on Delay and Load Balancing [PDF]
To address the time delay and load balancing problems faced by multiple controllers deployed in the software definition network (SDN), in this paper, a multi-controller placement algorithm is proposed to reduce the time delay between controllers, and ...
Liu Zhenpeng +4 more
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Adaptive Particle Swarm Optimization [PDF]
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence speed. The APSO consists of two main steps.
Zhi-hui Zhan +3 more
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A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm
In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the ...
QIN Chang-li +4 more
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A Particle Swarm Optimization Backtracking Technique Inspired by Science-Fiction Time Travel
Artificial intelligence techniques, such as particle swarm optimization, are used to solve problems throughout society. Optimization, in particular, seeks to identify the best possible decision within a search space.
Bob Fedor, Jeremy Straub
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The optimization of injection–production parameters is an important step in the design of gas injection development schemes, but there are many influencing factors and they are difficult to determine. To solve this problem, this paper optimizes injection-
Yukun Dong +3 more
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Overview of multiobjective particle swarm optimization algorithm
In the real world, the development model of optimization problems tends to be diversified and large scale. Therefore, optimization technologies are facing severe challenges in terms of nonlinearity, multi-dimensionality, intelligence, and dynamic ...
Qian FENG +3 more
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Particle Swarm Optimization is a metaheuristic optimization algorithm widely used across a broad range of applications. The algorithm has certain primary advantages such as its ease of implementation, high convergence accuracy, and fast convergence speed.
Ardiansyah Ardiansyah +2 more
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