Adaptive Constrained Differential Evolution Algorithm by Using Generalized Opposition-Based Learning
نویسندگان
چکیده
منابع مشابه
OGDE3: Opposition-Based Third Generalized Differential Evolution
Multi-Objective Optimization (MOO) metaheuristics are commonly used for solving complex MOO problems characterized by non-convexity, multimodality, mixed-types variables, non-linearity, and other complexities. However, often metaheuristics suffer from slow convergence. Opposition-Based Learning (OBL) has been successfully used in the past for acceleration of single-objective metaheuristics. The...
متن کاملOpposition-Based Learning in Compact Differential Evolution
This paper proposes the integration of the generalized opposition based learning into compact Differential Evolution frameworks and tests its impact on the algorithmic performance. Opposition-based learning is a technique which has been applied, in several circumstances, to enhance the performance of Differential Evolution. It consists of the generation of additional points by means of a hyper-...
متن کاملService Composition Optimization Using Differential Evolution and Opposition-based Learning
The numbers of web services are increasing rapidly over the last decades. One of the most interesting challenges in using web services is the usage of service composition that allows users to select and invoke composite services. In addition, the characteristic of each service is distinguished based on the quality of service (QoS). QoS is utilized in optimizing decisive factors such as cost or ...
متن کاملCentroid Opposition-Based Differential Evolution
The capabilities of evolutionary algorithms (EAs) in solving nonlinear and non-convex optimization problems are significant. Differential evolution (DE) is an effective population-based EA, which has emerged as very competitive. Since its inception in 1995, multiple variants of DE have been proposed with higher performance. Among these DE variants, opposition-based differential evolution (ODE) ...
متن کاملHybrid Opposition based Differential Evolution algorithm for Distribution System Reconfiguration
Electrical power distribution systems are critical links between the utility and customer. They are constructed by one of the three types: radial, open loop and network. They are usually arranged to be radial in operation to simplify over-current protection. Utilities are constantly looking for newer technologies that enhance power delivery performance. One of the several important issues is th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
سال: 2019
ISSN: 1000-2758,2609-7125
DOI: 10.1051/jnwpu/20193751000