Optimization of electric vehicles charging station deployment by means of evolutionary algorithms
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22515
Abstract: Due to the growing importance of electric vehicles, charging stations (CS) deployment is becoming an important issue in many cities. The aim of this paper is to introduce a novel evolutionary‐based approach for solving the… read more here.
Keywords: deployment; electric vehicles; optimization; approach ... See more keywords
Performance of CSE Techniques for Designing Multiplier-Less FIR Filter Using Evolutionary Algorithms
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0679-2
Abstract: In this work, an efficient design of multiplier-less digital finite impulse response (FIR) filter is presented, where the sub-expression elimination (SE) algorithms are employed on filter coefficients, and optimization is done with evolutionary algorithms. This… read more here.
Keywords: multiplier less; performance cse; cse techniques; filter ... See more keywords
Reoptimization Time Analysis of Evolutionary Algorithms on Linear Functions Under Dynamic Uniform Constraints
Sign Up to like & getrecommendations! Published in 2018 at "Algorithmica"
DOI: 10.1007/s00453-018-0451-4
Abstract: Rigorous runtime analysis is a major approach towards understanding evolutionary computing techniques, and in this area linear pseudo-Boolean objective functions play a central role. Having an additional linear constraint is then equivalent to the NP-hard… read more here.
Keywords: analysis; linear functions; constraint bound; uniform constraints ... See more keywords
Investigation on evolutionary algorithms powered by nonrandom processes
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-015-1689-2
Abstract: Inherent part of evolutionary algorithms that are based on Darwin’s theory of evolution and Mendel’s theory of genetic heritage, are random processes since genetic algorithms and evolutionary strategies are used. In this paper, we present… read more here.
Keywords: algorithms; nonrandom processes; investigation evolutionary; evolutionary algorithms ... See more keywords
Ensemble of many-objective evolutionary algorithms for many-objective problems
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DOI: 10.1007/s00500-015-1955-3
Abstract: The performance of most existing multiobjective evolutionary algorithms deteriorates severely in the face of many-objective problems. Many-objective optimization has been gaining increasing attention, and many new many-objective evolutionary algorithms (MaOEA) have recently been proposed. On… read more here.
Keywords: objective evolutionary; many objective; different maoeas; objective problems ... See more keywords
Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04077-1
Abstract: In power systems, optimal power flow (OPF) is a complex and constrained optimization problem in which quite often multiple and conflicting objectives are required to be optimized. The traditional way of dealing with multi-objective OPF… read more here.
Keywords: optimal power; power flow; constraint handling; evolutionary algorithms ... See more keywords
Taking “biology” just seriously enough: Commentary on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
Sign Up to like & getrecommendations! Published in 2017 at "Genetic Programming and Evolvable Machines"
DOI: 10.1007/s10710-017-9296-x
Abstract: Abstract“On the Mapping of Genotype to Phenotype in Evolutionary Algorithms,” by Peter A. Whigham, Grant Dick, and James Maclaurin, is a welcome reminder that evolutionary computation practitioners should be wary of taking their biological analogies… read more here.
Keywords: mapping genotype; genotype phenotype; biology; evolutionary algorithms ... See more keywords
Evolutionary Algorithms for Instruction Scheduling, Operation Merging, and Register Allocation in VLIW Compilers
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-019-01493-2
Abstract: Code generation for VLIW processors includes several optimization problems like code optimization, instruction scheduling, and register allocation. The high complexity of these problems usually does not allow the computation of the optimal solution. Instead, optimization… read more here.
Keywords: evolutionary algorithms; register allocation; instruction scheduling; code ... See more keywords
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
Sign Up to like & getrecommendations! Published in 2019 at "CATENA"
DOI: 10.1016/j.catena.2018.08.025
Abstract: Abstract The main objective of the present study was to produce a novel ensemble data mining technique that involves an adaptive neuro-fuzzy inference system (ANFIS) optimized by Shuffled Frog Leaping Algorithm (SFLA) and Particle Swarm… read more here.
Keywords: system; modeling landslide; evolutionary algorithms; neuro fuzzy ... See more keywords
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-33755-7
Abstract: Adaptive neuro-fuzzy inference system (ANFIS) includes two novel GIS-based ensemble artificial intelligence approaches called imperialistic competitive algorithm (ICA) and firefly algorithm (FA). This combination could result in ANFIS-ICA and ANFIS-FA models, which were applied to… read more here.
Keywords: anfis ica; auc; evolutionary algorithms; hybrid evolutionary ... See more keywords
Optimising the power using firework-based evolutionary algorithms for emerging IoT applications
Sign Up to like & getrecommendations! Published in 2019 at "IET Networks"
DOI: 10.1049/iet-net.2018.5041
Abstract: Optimising the overall power in a cluster-assisted internet of things (IoT) network is a challenging problem for emerging IoT applications. In this study, the authors propose a mathematical model for the cluster-assisted IoT network. The… read more here.
Keywords: iot; emerging iot; power; based evolutionary ... See more keywords