Results 11 to 20 of about 600,362 (302)
Crayfish optimization algorithm
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort behavior, competition behavior and foraging behavior. The three behaviors are divided into three different stages to balance the exploration and exploitation of algorithm. The three stages are summer resort
Heming Jia +3 more
openaire +3 more sources
A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
Wang, H +11 more
core +5 more sources
Optimizing the Trickle Algorithm [PDF]
The Trickle Algorithm has enjoyed much popularity and widespread use as a basic network primitive ensuring low-cost data consistency in lossy networks. Trickle is shaped by the so-called short-listen problem, hence the imposition of a listen-only period.
Badis Djamaa, Mark A. Richardson 0001
openaire +2 more sources
In this paper, a new bio-inspired metaheuristic algorithm called Tasmanian Devil Optimization (TDO) is designed that mimics Tasmanian devil behavior in nature. The fundamental inspiration used in TDO is simulation of the feeding behavior of the Tasmanian
Mohammad Dehghani +2 more
doaj +1 more source
A multi strategy improved pigeon-inspired optimization algorithm [PDF]
Pigeon-inspired optimization algorithm is easy to fall into local optimization and low convergence accuracy in solving nonlinear optimization problems.
Liao Heng, Huang Huadong
doaj +1 more source
WPO: A Whale Particle Optimization Algorithm
Metaheuristic algorithms are novel optimization algorithms often inspired by nature. In recent years, scholars have proposed various metaheuristic algorithms, such as the genetic algorithm (GA), artificial bee colony, particle swarm optimization (PSO ...
Ko-Wei Huang +4 more
doaj +1 more source
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
doaj +1 more source
Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm
Nature computing has evolved with exciting performance to solve complex real-world combinatorial optimization problems. These problems span across engineering, medical sciences, and sciences generally.
Olaide Nathaniel Oyelade +3 more
doaj +1 more source
Numerous optimization problems have been defined in different disciplines of science that must be optimized using effective techniques. Optimization algorithms are an effective and widely used method of solving optimization problems that are able to ...
Petr Coufal +3 more
doaj +1 more source
Replication Data for: eSLP optimization algorithm
m-files implementing the eSLP optimization algorithm for the three simulations (3.1. - 3.3.) described in the associated paper. File README.txt contains analytical directions regarding requirements, how to verify the results and videos generated by the ...
Optimization, eSLP
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