This paper describes the use of a modified Differential Evolution strategy that identifies multiple solutions to the numerical optimization of multidimensional objective functions. Traditional approaches to this class of problems, such as Newton’s Method, are restricted for use on continuous, differentiable functions; in addition, the solution identified by these approaches i often dependent up...

Computational modelling of biochemical systems based on top-down and bottom-up approaches has been well studied over the last decade. In this research, after illustrating how to generate atomic components by a set of given reactants and two user pre-defined component patterns, we propose an integrative top-down and bottom-up modelling approach for stepwise qualitative exploration of interaction...

The automated generation of controllers for real-world autonomous agents by means of evolutionary methods has recently attracted a lot of attention. Most of the pertinent research has employed genetic algorithms or variations thereof. We have applied a diierent evolutionary method to the generation of a control architecture for Braitenberg vehicles, namely \evolution-ary strategies". The applic...

We present results from the application of evolution strategies for parameter optimization in direct numerical simulations and vortex models of controlled jet ows. It is shown that evolution strategies are a portable, highly parallel method that can complement our physical intuition in the parameter optimization of such ows.

A lot of Metaheuristics for solving dynamic combinatorial facility layout problems have been developed, but still require much computation time when the number of facilities or planning horizon is large. Dynamic facility layout should meet a dynamic change in both product mix and demand quantity of each product over a planning horizon by adjusting facility layout effectively under a given syste...

Systems or software agents do not always agree on the information being shared, justifying the use of distinct ontologies for the same domain. For achieving interoperability, declarative mappings are used as a basis for exchanging information between systems. However, in dynamic environments like the Web and the Semantic Web, ontologies constantly evolve, potentially leading to invalid ontology...

The presence of noise in real-world optimization problems poses difficulties to optimization strategies. It is frequently observed that evolutionary algorithms are quite capable of succeeding in noisy environments. Intuitively, the use of a population of candidate solutions alongside with some implicit or explicit form of averaging inherent in the algorithms is considered responsible. However, ...

AbstractWe discuss the implementation of a learning algorithm for determining adaptation parameters in evolution strategies. As an initial test case, we consider the application of reinforcement learning for determining the relationship between success rates and the adaptation of step sizes in the (1+1)-evolution strategy. The results from the new adaptive scheme when applied to several test fu...

We numerically determine the equilibrium trading strategies in a Continuous Double Auction (CDA). We consider heterogeneous and liquidity motivated agents, with private values and costs, that trade sequentially in random order under time constraints and are not aware of the type of the other agents in their session. We assume that they submit limit orders using a simple linear function of the c...

This paper presents a hybrid coding collaborative ant colony-differential evolution algorithm for solving bound constrained mixed integer programming problems. In this algorithm, a real number and integer hybrid coding strategy is used, and the population evolution is realized by colony optimization and differential evolution. It is shown by numerical experiments that the proposed algorithm is ...