Beatrice M. Ombuki-Berman
Orcid: 0000-0002-7296-9510
According to our database1,
Beatrice M. Ombuki-Berman
authored at least 69 papers
between 1998 and 2023.
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Bibliography
2023
Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems.
Swarm Evol. Comput., 2023
Identification and Classification of JMH Microbenchmark States using Time Series Analysis.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023
A Comparative Study of Multi-Guide Particle Swarm Optimization Topologies in Dynamic Multi-Objective Environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems.
Swarm Intell., 2022
A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022
2021
Neurocomputing, 2021
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021
Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training.
Neural Process. Lett., 2020
An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks.
Neural Process. Lett., 2020
Genet. Program. Evolvable Mach., 2020
Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
2019
A parameter-free particle swarm optimization algorithm using performance classifiers.
Inf. Sci., 2019
An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
IEEE Trans. Evol. Comput., 2018
Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm.
Swarm Evol. Comput., 2018
Swarm Intell., 2018
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018
Proceedings of the Swarm Intelligence - 11th International Conference, 2018
2017
An age layered population structure genetic algorithm for the multi-depot vehicle problem.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
An adaptive particle swarm optimization algorithm based on optimal parameter regions.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis.
Swarm Intell., 2016
A meta-analysis of centrality measures for comparing and generating complex network models.
J. Comput. Sci., 2016
Automatic inference of graph models for directed complex networks using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A radius-free quantum particle swarm optimization technique for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Co-operative Vector-Evaluated Particle Swarm Optimization for Multi-objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
High-Dimensional Multi-Objective Optimization Using Co-operative Vector-Evaluated Particle Swarm Optimization with Random Variable Grouping.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Genetic Programming for the Automatic Inference of Graph Models for Complex Networks.
IEEE Trans. Evol. Comput., 2014
Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013
Automatic inference of hierarchical graph models using genetic programming with an application to cortical networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape Measures.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2010
An efficient genetic algorithm for the uncapacitated single allocation hub location problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Proceedings of the Bio-inspired Algorithms for the Vehicle Routing Problem, 2009
A search space analysis for the waste collection vehicle routing problem with time windows.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Cyber Security, 2009
2008
Particle swarm optimisation for the design of two-connected networks with bounded rings.
Int. J. High Perform. Syst. Archit., 2008
2007
Proceedings of the First IEEE Symposium on Artificial Life, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
2006
Appl. Intell., 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
A Genetic Algorithm for the Design of Minimum-cost Two-connected Networks with Bounded Rings.
Int. J. Comput. Intell. Appl., 2005
2004
Appl. Intell., 2004
1998
A new hybrid GA solution to combinatorial optimization problems - an application to the multiprocessor scheduling problem.
Artif. Life Robotics, 1998
Experimental evaluation of an evolutionary scheduling scheme for the job shop scheduling problem.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998