Andrey Dik
Author of the long-running MQL5 article series on population-based optimization algorithms — the source of this wiki’s founding corpus. He implements each optimizer in MQL5 (MetaTrader 5’s language) and scores them on a shared comparative benchmark (population-optimization-benchmark), covering ~45 algorithms.
In this wiki
Authored the founding four — cma-es, backtracking-search-algorithm, exchange-market-algorithm, deterministic-oscillatory-search — plus the canonical swarm/EA classics particle-swarm-optimization, grey-wolf-optimizer, ant-colony-optimization, artificial-bee-colony, and evolution-strategies. His comparative, implement-and-measure approach is what lets this wiki treat the algorithms as one ranked field rather than isolated methods — and surfaces the no-free-lunch-theorem result.
Benchmark caution: his scoring evolved — early articles (PSO/GWO/ACO/ABC, ~2022–23) use a small-field 0–1 score (Skin/Forest/Megacity); later ones use a %-of-MAX rating over ~45 algorithms (Hilly/Forest/Megacity). The two are not directly comparable (see population-optimization-benchmark).
Related
population-optimization-benchmark · metaheuristic-optimization · evolution-strategies
Linked from
- index
- log
- ant-colony-optimization
- artificial-bee-colony
- backtracking-search-algorithm
- bayesian-optimization
- cma-es
- deterministic-oscillatory-search
- differential-evolution
- evolution-strategies
- exchange-market-algorithm
- genetic-algorithm
- grey-wolf-optimizer
- particle-swarm-optimization
- population-optimization-benchmark
- simulated-annealing
- test-functions-for-optimization