Evolutionary computation has started to receive significant attention during the last decade,
although the origins can be traced back to the late 1950's. This article surveys the history as …

Evolution strategies form a class of evolutionary optimization procedures the behavior of
which is comparatively well understood theoretically, at least for simple cases. An approach …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

This article gives a comprehensive introduction into one of the main branches of
evolutionary computation–the evolution strategies (ES) the history of which dates back to the …

This paper presents an overview of our most recent results concerning the Particle Swarm
Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting …

The field of evolutionary computation is expanding dramatically, fueled by the vast
investment that reflects the value of applying its techniques. Culling material from the …

Drought stress during reproductive development could drastically reduce wheat grain
number and yield, but quantitative evaluation of such an effect is unknown under climate …

Increasing cereal yield is needed to meet the projected increased demand for world food
supply of about 70% by 2050. Sirius, a process-based model for wheat, was used to …

Evolution strategies (ES) are evolutionary algorithms that date back to the 1960s and that
are most commonly applied to black-box optimization problems in continuous search …

We present an overview of evolutionary algorithms that use empirical models of the fitness
function to accelerate convergence, distinguishing between evolution control and the …