A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018
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Updated
Nov 18, 2025 - MATLAB
A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018
Hierarchy ranking method for multimodal multi-objective optimization with local Pareto fronts (IEEE TEVC 2023)
Algorithms, test suites & full data: comparative study of multimodal multi-objective EAs (SWEC 2023)
Coevolutionary framework for generalized multimodal multi-objective optimization (IEEE/CAA JAS 2023, in PlatEMO)
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
MultiCalib4DEB uses multimodal evolutionary optimization algorithms to calibrate dynamic energy budget models in DEBtool_M toolbox
MMEA-WI: weighted indicator-based EA for multimodal multi-objective optimization (TEVC 2021, included in PlatEMO)
Solving multi-modal optimization problem (Truck and Freighter) during master 2 class about transport optimization
Surrogate-assisted multimodal multi-objective optimization for hybrid renewable energy system (CAIS 2023)
Dual-scale co-evolutionary algorithm for multimodal multi-objective optimization (under review)
Source code, results and analysis of the resulting population of neurons from the article 'On the use of a multimodal optimizer for fitting neuron models. Application to the cerebellar granule cell. (2021) Front. in Neuroinf.
RWMMO: 20 certified real-world multimodal multi-objective problems with reference sets
CMD-CoEA: constrained multimodal dominance dual-population coevolutionary algorithm + CMMF benchmark suite (SWEC 2026)
Multimodal multi-objective EA for multiple path planning, CEC 2021 MMOPPO entry (CAIE 2022)
Two-stage robust differential evolution for robust multimodal optimization (under review)
RCMD-EA: robust constrained multimodal dominance EA for dynamic weapon-target assignment (SWEC 2026)
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