In this Chapter we present the modification of a Differential Evolution algorithm to solve constrained optimization problems. The changes include a deterministic and a self-adaptive parameter control in two of the Differential Evolution parameters and also in two parameters related with the constraint-handling mechanism. The proposed approach is extensively tested by using a set of well-known t...

The self-developed finite element program on return mapping algorithm is used for the simulation of true tunnel with C++ language, while the finite element program is embedded into differential evolution algorithm to incorporate rock mechanics parameters. Applying to Line 1 of Dalian Metro, inversion parameters and true parameters are found to be close, which indicates the superiority and good ...

This paper proposes method for solving steel alloying problem using evolution algorithms SOMA and differential evolution. Both algorithms belong to the family of the evolution algorithms but the main ideas of these algorithms are different. In differential evolution new offspring is created during the evolution, the individuals are crossed and mutated, while in SOMA the individuals move in the ...

Source: Hacker, Eddy and Lewis (2002) A visual appreciation of Keane’s two-dimensional (m=2) bump function may be obtained from the graphical presentation (Fig.-1; Hacker et al., 2002). As the dimension (m) grows larger, the optimum value of the function becomes more and more difficult to obtain. Keane (1994) observed that for m=20 the value of min[f(x)] could be about -0.76 and for m=50 it cou...

Up till now, the high penetration of intermittent distributed generation (DG) has posed great challenges to the planning and operation of the grid. To achieve the best balance between economic cost and acceptable capacity of DG, this paper proposes a new integrated planning method of the active distribution network while considering voltage control cost. Firstly, characteristics of decentralize...

This paper investigates the search performances of various meta-heuristics (MHs) for solving truss mass minimisation with dynamic constraints. Several established MHs were used to solve five truss optimisation problems. The results obtained from using the various MHs were statistically compared based upon convergence rate and consistency. It was found that the best optimisers for this design ta...

CONTENTS Introduction 151 § 1. Maximal attractors of semigroups generated by evolution equations 156 § 2. Examples of parabolic equations and systems having a maximal attractor 158 § 3. The Hausdorff dimension of invariant sets 164 § 4. Estimate of the change in volume under the action of shift operators generated by linear evolution equations 167 § 5. An upper bound for the Hausdorff dimension...

This paper presents a novel optimal watermarking scheme based on singular value decomposition (SVD) using differential evolution algorithm (DE). The singular values (SVs) of the host image are modified to embed the watermark image by employing multiple scaling factors (SFs). Modifications are optimised using DE to obtain the highest possible robustness without losing the transparency. Experimen...

The influence of synchronous and asynchronous migration on the performance of adaptive differential evolution algorithms is investigated. Six adaptive differential evolution variants are employed by the parallel migration model with a star topology. Synchronous and asynchronous migration models with various parameters settings were experimentally compared with non-parallel adaptive algorithms i...

In this paper, an improved multi-objective differential evolution algorithm(IDEA) is proposed for multi-objective optimization problems. In IDEA, the select operator combines the advantages of DE with the mechanisms of Pareto-based ranking and distance density, besides, a randomly migration strategy is proposed. IDEA is implemented on four classical multi-objective problems, the simulation resu...