Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Simple genetic algorithm with local tuning: efficient global optimizing technique
Journal of Optimization Theory and Applications
How to solve it: modern heuristics
How to solve it: modern heuristics
Parallel Simulated Annealing Algorithms in Global Optimization
Journal of Global Optimization
Introduction to Stochastic Search and Optimization
Introduction to Stochastic Search and Optimization
Population set-based global optimization algorithms: some modifications and numerical studies
Computers and Operations Research
A comparison of complete global optimization solvers
Mathematical Programming: Series A and B
Foundations of Global Genetic Optimization
Foundations of Global Genetic Optimization
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The paper is concerned with parallel global optimization techniques that can be applied to solve complex optimization problems, and are widely used in applied science and in engineering. We describe an integrated software platform EPOCS (Environment for Parallel Optimization of Complex Systems) that provides the framework and tools which allow to solve complex optimization problems on parallel and multi-core computers. The composition, design and usage of EPOCS is discussed. Next, we evaluate the performance of methods implemented in the EPOCS library based on numerical results for a commonly used set of functions from the literature. The case study --- calculating the optimal prices of products that are sold in the market is presented to illustrate the application of our tool to a given real-life problem.