Herein we demonstrate how to use model optimization to determine a set of best-fit parameters for a landform model simulating gully incision and headcut retreat. To achieve this result we employed the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), an iterative process in which samples are created based on a distribution of parameter values that evolve over time to better fit an objec...

The (1+1) Evolution Strategy (ES), a simple, mutation-based evolutionary algorithm for continuous optimization problems, is analyzed. In particular, we consider the most common type of mutations, namely Gaussian mutations, and the 1/5-rule for mutation adaptation, and we are interested in how the runtime, which we define as the number of function evaluations, to obtain a predefined reduction of...

Noise often occurs in real-world optimization tasks. Although evolution strategies and other evolutionary algorithms are thought to be robust against the effects of noise, even their performance is degraded. Generally, one observes a reduction of the convergence velocity and a deterioration of the final solution quality. There are two local progress measures describing the performance of evolut...

Evolution strategies (ESs) are zeroth-order stochastic black-box optimization heuristics invariant to monotonic transformations of the objective function. They evolve a multivariate normal distribution, from which candidate solutions generated. Among different variants, CMA-ES is nowadays recognized as one state-of-the-art optimizers for difficult problems. Despite ample empirical evidence that...

Over the last three decades, research on adoption, implementation, and use of information technology in organizations such as technology acceptance has undoubtedly provided for valuable and important insights. However, there is still a lack of understanding of users’ responses to new IT, their adaptation behaviors and associated outcomes such as effective use in organizations. With a critical r...

Evolutionary biologists have identified several factors that could explain the widespread phenomena of sex and recombination. One hypothesis is that host-parasite interactions favor sex and recombination because they favor the production of rare genotypes. A problem with many of the early models of this so-called Red Queen hypothesis is that several factors are acting together: directional sele...

Evolutionary Strategies (ES) are a class of continuous optimization algorithms that have proven to perform very well on hard optimization problems. Whereas in earlier literature, both intermediate and discrete recombination operators were used, we now see that most ES, e.g. CMA-ES, use only intermediate recombination. While CMA-ES is considered state-of-the-art in continuous optimization, we be...

1: procedure CC-CMA-ES(dim, subN um, lambda, ub, lb, maxF Es) 2: pop(1 : 200, 1 : dim) ← random population 3: (best, best val) ← evaluate(pop) 4: f es ← 200 5: C ← dim × dim unit matrix 6: xw ← dim × 1 random vector 7: σ ← (ub − lb) ÷ 2 8: historyW indow ← 5 9: perf ormanceRecord ← ones(3, historyW indow) 10: while f es < maxF Es do 11: (subInf o, decomposerID) ← adaptiveDecompose(dim, subN um,...