|
[1]
|
OTIMIZAÇÃO DE FUNÇÕES MULTIMODAIS VIA TÉCNICA DE INTELIGÊNCIA COMPUTACIONAL BASEADA EM COLÔNIA DE VAGA-LUMES
|
|
4799 |
|
|
|
[2]
|
Amino Acids Compete with Ammonia in Sulfuric Acid-Based Atmospheric Aerosol Prenucleation: The Case of Glycine and Serine
|
|
The Journal of …,
2022 |
|
|
|
[3]
|
Hierarchical tri-level optimization model for effective use of by-products in a sugarcane supply chain network
|
|
Keshteli - Applied Soft Computing,
2022 |
|
|
|
[4]
|
A collection of 30 multidimensional functions for global optimization benchmarking
|
|
Data,
2022 |
|
|
|
[5]
|
GloMPO (Globally Managed Parallel Optimization): a tool for expensive, black-box optimizations, application to ReaxFF reparameterizations
|
|
Journal of …,
2022 |
|
|
|
[6]
|
Black box approximation in the tensor train format initialized by ANOVA decomposition
|
|
arXiv preprint arXiv:2208.03380,
2022 |
|
|
|
[7]
|
Evaluation of Lateral Displacement Induced by Jet Grouting using Improved Random Forest
|
|
Geotechnical and …,
2022 |
|
|
|
[8]
|
Non‐Deterministic Global Structure Optimization: An Introductory Tutorial
|
|
Reviews in Computational Chemistry, Volume 32,
2022 |
|
|
|
[9]
|
Accelerated Cuckoo Search With Extended Diversification and Intensification
|
|
… Journal of Swarm Intelligence Research (IJSIR),
2021 |
|
|
|
[10]
|
Explaining SOMA: the relation of stochastic perturbation to population diversity and parameter space coverage
|
|
Proceedings of the …,
2021 |
|
|
|
[11]
|
Enhancing the Bees algorithm for global optimisation using search space manipulation
|
|
2021 |
|
|
|
[12]
|
Pandemic Search Algorithm: A Metaheuristic Inspiration of COVID-19 Outbreak
|
|
2021 IEEE 3rd International …,
2021 |
|
|
|
[13]
|
MATHEMATICAL MODELING OF ECOLOGICAL SYSTEMS ALGORITHM
|
|
Lebanese Science …,
2021 |
|
|
|
[14]
|
EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
|
|
2021 |
|
|
|
[15]
|
Advanced Metaheuristic Algorithms on Solving Multimodal Functions: Experimental Analyses and Performance Evaluations
|
|
2021 |
|
|
|
[16]
|
Tournament Topology Particle Swarm Optimization
|
|
2021 IEEE Congress on Evolutionary Computation (CEC). IEEE,
2021 |
|
|
|
[17]
|
Hyper-Heuristics to Customise Metaheuristics for Continuous Optimisation
|
|
2021 |
|
|
|
[18]
|
Socio-cognitive Evolution Strategies
|
|
2021 |
|
|
|
[19]
|
Monomers of Glycine and Serine Have a Limited Ability to Hydrate in the Atmosphere
|
|
The Journal of Physical …,
2021 |
|
|
|
[20]
|
PSO Trajectory Planner Using Kinematic Controllers that Ensure Smooth Differential Robot Velocities
|
|
2020 |
|
|
|
[21]
|
An Improved PSO for Design Optimizations of a Multiband Rectenna for Miniature Energy Harvester
|
|
2020 |
|
|
|
[22]
|
Multipath Routing Technique in Wireless Network Based on Optimization Algorithm
|
|
2020 |
|
|
|
[23]
|
Firefly Algorithm with non-homogeneous population: A case study in economic load dispatch problem
|
|
2020 |
|
|
|
[24]
|
Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges
|
|
2020 |
|
|
|
[25]
|
New Caledonian crow learning algorithm: A new metaheuristic algorithm for solving continuous optimization problems
|
|
2020 |
|
|
|
[26]
|
CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search
|
|
2020 |
|
|
|
[27]
|
Analysis and Application of Parallel Simulated Annealing
|
|
2020 |
|
|
|
[28]
|
Chaos based optics inspired optimization algorithms as global solution search approach
|
|
Chaos, Solitons & Fractals,
2020 |
|
|
|
[29]
|
FPGA Implementation of Floating Point Based Cuckoo Search Algorithm
|
|
2019 |
|
|
|
[30]
|
Noise can speed Markov chain Monte Carlo estimation and quantum annealing
|
|
2019 |
|
|
|
[31]
|
Malleable parallelism with minimal effort for maximal throughput and maximal hardware load
|
|
2019 |
|
|
|
[32]
|
A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems
|
|
2019 |
|
|
|
[33]
|
A parallel surrogate model assisted evolutionary algorithm for electromagnetic design optimization
|
|
2019 |
|
|
|
[34]
|
Self-organizing Migrating Algorithm with Non-binary Perturbation
|
|
2019 |
|
|
|
[35]
|
Playground Algorithm as a New Meta-heuristic Optimization Algorithm
|
|
2019 |
|
|
|
[36]
|
Stochastic field representation using bi-fidelity combination of proper orthogonal decomposition and Kriging
|
|
Computer Methods in Applied Mechanics and …,
2019 |
|
|
|
[37]
|
Exploring self‐organization of molecular tether molecules on a gold surface by global structure optimization
|
|
2019 |
|
|
|
[38]
|
A hybrid optimization scheme for self‐potential measurements due to multiple sheet‐like bodies in arbitrary 2D resistivity distributions
|
|
2019 |
|
|
|
[39]
|
Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design
|
|
2019 |
|
|
|
[40]
|
High-Performance Computing to tackle complex problems in life sciences
|
|
2019 |
|
|
|
[41]
|
Comparing reliability of grid-based Quality-Diversity algorithms using artificial landscapes
|
|
2019 |
|
|
|
[42]
|
Local optima networks for continuous fitness landscapes
|
|
2019 |
|
|
|
[43]
|
Computational Technology for Global Search Based on the Modified Algorithm of the Univariate Nonlocal Optimization
|
|
2019 |
|
|
|
[44]
|
Business-Oriented Data Analytics: Advances in Profit-Driven Model Building and Fraud Detection
|
|
2018 |
|
|
|
[45]
|
Globally Optimal Catalytic Fields-Inverse Design of Abstract Embeddings for Maximum Reaction Rate Acceleration
|
|
Journal of Chemical Theory and Computation,
2018 |
|
|
|
[46]
|
Cluster structures influenced by interaction with a surface
|
|
Physical Chemistry Chemical Physics,
2018 |
|
|
|
[47]
|
Quantum and Soft Computing
|
|
2018 |
|
|
|
[48]
|
PDPSO: THE FUSION OF PRIMAL-DUAL INTERIOR POINT METHOD AND PARTICLE SWARM OPTIMIZATION ALGORITHM
|
|
2018 |
|
|
|
[49]
|
Experimenting with a New Population-Based Optimization Technique: FUNgal Growth Inspired (FUNGI) Optimizer
|
|
Recent Developments and the New Direction in Soft-Computing Foundations and Applications,
2018 |
|
|
|
[50]
|
Uma Variante Melhorada do Algoritmo Busca Cuco usando uma Estratégia de Quasi Opposition–Based Learning
|
|
2018 |
|
|
|
[51]
|
Extended experimental study on PSO with partial population restart based on complex network analysis
|
|
Logic Journal of the IGPL,
2018 |
|
|
|
[52]
|
Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization
|
|
The Journal of Supercomputing,
2018 |
|
|
|
[53]
|
FIL-DGA based hardware optimization system
|
|
Applied Soft Computing,
2018 |
|
|
|
[54]
|
Towards a hybrid algorithm of swarm intelligence⋆
|
|
2018 |
|
|
|
[55]
|
Gradient methods with higher-order information for unconstrained optimization
|
|
2018 |
|
|
|
[56]
|
Adaptive parallelism with RMI: Idle high-performance computing resources can be completely avoided
|
|
2018 |
|
|
|
[57]
|
Why Simple Population Restart Does Not Work in PSO
|
|
2018 |
|
|
|
[58]
|
Particle Swarm Optimization with Distance Based Repulsivity
|
|
2018 |
|
|
|
[59]
|
Using complex network visualization and analysis for uncovering the inner dynamics of PSO algorithm
|
|
2017 |
|
|
|
[60]
|
Uma nova variante do algoritmo do morcego baseada em uma modificação no operador de mutação de michalewicz
|
|
2017 |
|
|
|
[61]
|
Soft-computing in Physical and Chemical Sciences: A Shift in Computing Paradigm
|
|
2017 |
|
|
|
[62]
|
Yapay zeka tabanlı optimizasyon algoritmaları geliştirilmesi
|
|
2017 |
|
|
|
[63]
|
Exploring the shortest path in PSO communication network
|
|
2017 |
|
|
|
[64]
|
Globally-Optimized Local Pseudopotentials for (Orbital-Free) Density Functional Theory Simulations of Liquids and Solids
|
|
Journal of Chemical Theory and Computation,
2017 |
|
|
|
[65]
|
An adaptive Cuckoo search algorithm for optimisation
|
|
Applied Computing and Informatics,
2017 |
|
|
|
[66]
|
Continuous versions of firefly algorithm: a review
|
|
Artificial Intelligence Review,
2017 |
|
|
|
[67]
|
Elite opposition learning and exponential function steps-based dragonfly algorithm for global optimization
|
|
2017 |
|
|
|
[68]
|
Improved Cluster Structure Optimization: Hybridizing Evolutionary Algorithms with Local Heat Pulses
|
|
Inorganics,
2017 |
|
|
|
[69]
|
Uma Nova Variante do Algoritmo do Morcego Baseada em uma Modificaç ao no Operador de Mutaç ao de Michalewicz
|
|
2017 |
|
|
|
[70]
|
Ant Colony Optimization with Stepwise Localization of the Discrete Search Space to Solve Function Optimization Problems
|
|
2017 |
|
|
|
[71]
|
Novel hybrid feature selection models for unsupervised document categorization
|
|
2017 |
|
|
|
[72]
|
Modified bat algorithm with cauchy mutation and elite opposition-based learning
|
|
2017 |
|
|
|
[73]
|
Evolutionary Multimodal Optimization
|
|
Optimization Methods and Applications,
2017 |
|
|
|
[74]
|
Hill-Climbing Algorithm with a Stick for Unconstrained Optimization Problems
|
|
Advances in Applied Mathematics and Mechanics,
2017 |
|
|
|
[75]
|
Improvement of RBF Training by Removing of Selected Pattern
|
|
Artificial Intelligence and Soft Computing,
2017 |
|
|
|
[76]
|
Hybrid genetic deflated Newton method for global optimisation
|
|
Journal of Computational and Applied Mathematics,
2017 |
|
|
|
[77]
|
PSO with Partial Population Restart Based on Complex Network Analysis
|
|
Hybrid Artificial Intelligent Systems,
2017 |
|
|
|
[78]
|
Global optimization test problems based on random field composition.
|
|
2017 |
|
|
|
[79]
|
ABC and PSO: A comparative analysis
|
|
2016 |
|
|
|
[80]
|
Hooked on Springs: Using Virtualized Damped Harmonic Oscillators to Explore Complex Search Spaces
|
|
2016 |
|
|
|
[81]
|
Development of Particle Swarm Optimization Based Rainfall-Runoff Prediction Model for Pahang River, Pekan
|
|
2016 |
|
|
|
[82]
|
hGRGA: A Scalable Genetic Algorithm using Homologous Gene Schema Replacement
|
|
Swarm and Evolutionary Computation,
2016 |
|
|
|
[83]
|
Empirical Evaluation of Changing Crossover Operators to Solve Function Optimization Problems
|
|
2016 IEEE Symposium Series on Computational Intelligence (SSCI),
2016 |
|
|
|
[84]
|
Conquering the hard cases of Lennard-Jones clusters with simple recipes
|
|
Computational and Theoretical Chemistry,
2016 |
|
|
|
[85]
|
Error-Safe, Portable, and Efficient Evolutionary Algorithms Implementation with High Scalability
|
|
Journal of Chemical Theory and Computation,
2016 |
|
|
|
[86]
|
Handbook of research on natural computing for optimization problems
|
|
2016 |
|
|
|
[87]
|
Verification of thermo-dynamical genetic algorithm to solve the function optimization problem through diversity measurement—Diversity measurement and its …
|
|
2016 |
|
|
|
[88]
|
Global optimization test problems based on random field composition
|
|
Optimization Letters,
2016 |
|
|
|
[89]
|
A System on Chip Development of Customizable GA Architecture for Real Parameter Optimization Problem
|
|
2016 |
|
|
|
[90]
|
Path Optimization with Artificial Bee Colony Algorithm in WSN
|
|
2016 |
|
|
|
[91]
|
A Scalable Gene Replacement Operator for Genetic Algorithm
|
|
2016 |
|
|
|
[92]
|
Enhanced particle swarm optimization with self-adaptation on entropy-based inertia weight
|
|
IEICE TRANSACTIONS on Information and Systems,
2016 |
|
|
|
[93]
|
Mosquito Flying Optimization (MFO)
|
|
2016 |
|
|
|
[94]
|
Verification of thermo-dynamical genetic algorithm to solve the function optimization problem through diversity measurement—Diversity measurement and its …
|
|
2016 |
|
|
|
[95]
|
CA 2016/004–Versão 001–Validação das funções de teste no Framework de Otimização do LEV-Versão 2016-03-02
|
|
2016 |
|
|
|
[96]
|
Avaliação de técnicas de paralelização de algoritmos bioinspirados utilizando computação GPU: um estudo de casos para otimização de roteamento em …
|
|
2015 |
|
|
|
[97]
|
Precision Test of Many-Body QED in the Fine Structure Doublet Using Short-Lived Isotopes
|
|
2015 |
|
|
|
[98]
|
Noise Benefits in Markov Chain Monte Carlo Computation
|
|
2015 |
|
|
|
[99]
|
Evolutionary bilevel optimization for complex control problems and blackbox function optimization
|
|
2015 |
|
|
|
[100]
|
以植基於位置及適應值偏離之調控器增強粒子群優化法
|
|
成功大學資訊管理研究所學位論文,
2015 |
|
|
|
[101]
|
AVALIAÇÃO DE TÉCNICAS DE PARALELIZAÇÃO DE ALGORITMOS BIOINSPIRADOS UTILIZANDO COMPUTAÇÃO GPU: UM ESTUDO DE CASOS PARA OTIMIZAÇÃO DE ROTEAMENTO EM REDES ÓPTICAS
|
|
2015 |
|
|
|
[102]
|
Markov chain Analysis of Evolution Strategies
|
|
Thèse,
2015 |
|
|
|
[103]
|
Toolbox for genetic algorithm in VC++
|
|
MOOCs, Innovation and Technology in Education (MITE), 2015 IEEE 3rd International Conference on,
2015 |
|
|
|
[104]
|
Extending design space optimization heuristics for use with Stochastic Colored Petri nets
|
|
Proc. IEEE Int. Systems Conference (SysCon 2015),
2015 |
|
|
|
[105]
|
Parallel and Interacting Stochastic Approximation Annealing algorithms for global optimisation
|
|
arXiv preprint arXiv:1508.04876,
2015 |
|
|
|
[106]
|
Efficient global optimization of reactive force‐field parameters
|
|
Journal of computational chemistry,
2015 |
|
|
|
[107]
|
Professur für Kognitive Systeme
|
|
2015 |
|
|
|
[108]
|
Dynamic particle swarm optimization with heterogeneous multicore parallelism and GPU acceleration
|
|
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on,
2015 |
|
|
|
[109]
|
Enhanced Particle Swarm Optimization with Self-Adaptation Based on Fitness-Weighted Acceleration Coefficients
|
|
Intelligent Automation & Soft Computing,
2015 |
|
|
|
[110]
|
Alexandre Chotard
|
|
2015 |
|
|
|
[111]
|
Interactive Markov Models of Optimization Search Strategies
|
|
2015 |
|
|
|
[112]
|
A Novel Hybrid SP-QPSO Algorithm Using CVT for High Dimensional Problems
|
|
Advances in Global Optimization,
2015 |
|
|
|
[113]
|
Avaliação de técnicas de paralelização de algoritmos bioinspirados utilizando computação GPU: um estudo de casos para otimização de roteamento em redes …
|
|
2015 |
|
|
|
[114]
|
Avaliação de técnicas de paralelização de algoritmos bioinspirados utilizando computação GPU: um estudo de casos para otimização de roteamento em redes …
|
|
2015 |
|
|
|
[115]
|
Swarm and Evolutionary Computation
|
|
2015 |
|
|
|
[116]
|
A Synchronous-Asynchronous Particle Swarm Optimisation Algorithm
|
|
The Scientific World Journal,
2014 |
|
|
|
[117]
|
Numerical optimizers for nanophotonic devices
|
|
2014 |
|
|
|
[118]
|
A size resolved investigation of large water clusters
|
|
Physical Chemistry Chemical Physics,
2014 |
|
|
|
[119]
|
Optimization Algorithm Inspired by Social Insect Behaviour in Comparison with Hill Climbing
|
|
Information Sciences & Technologies: Bulletin of the ACM Slovakia,
2013 |
|
|
|
[120]
|
Should Every Man be an Island?
|
|
2013 |
|
|
|
[121]
|
Interactive Markov Models of Evolutionary Algorithms
|
|
2013 |
|
|
|
[122]
|
Should every man be an island
|
|
2013 |
|
|
|
[123]
|
Knižnica testovacích funkcií pre optimalizačné algoritmy v C/C++ jazyku
|
|
2013 |
|
|
|
[124]
|
Global optimization of some difficult benchmark functions by cuckoo-host co-evolution meta-heuristics
|
|
2012 |
|
|