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Opposition based learning: A literature review
Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
A review of opposition-based learning from 2005 to 2012
Q Xu, L Wang, N Wang, X Hei, L Zhao - Engineering Applications of …, 2014 - Elsevier
Diverse forms of opposition are already existent virtually everywhere around us, and utilizing
opposite numbers to accelerate an optimization method is a new idea. Since 2005 …
opposite numbers to accelerate an optimization method is a new idea. Since 2005 …
An improved differential evolution algorithm and its application in optimization problem
The selection of the mutation strategy for differential evolution (DE) algorithm plays an
important role in the optimization performance, such as exploration ability, convergence …
important role in the optimization performance, such as exploration ability, convergence …
Biogeography-based optimization
D Simon - IEEE transactions on evolutionary computation, 2008 - ieeexplore.ieee.org
Biogeography is the study of the geographical distribution of biological organisms.
Mathematical equations that govern the distribution of organisms were first discovered and …
Mathematical equations that govern the distribution of organisms were first discovered and …
Opposition-based differential evolution
Evolutionary algorithms (EAs) are well-known optimization approaches to deal with
nonlinear and complex problems. However, these population-based algorithms are …
nonlinear and complex problems. However, these population-based algorithms are …
Quasi-oppositional differential evolution
In this paper, an enhanced version of the opposition-based differential evolution (ODE) is
proposed. ODE utilizes opposite numbers in the population initialization and generation …
proposed. ODE utilizes opposite numbers in the population initialization and generation …
[PDF][PDF] HIASA: Hybrid improved artificial bee colony and simulated annealing based attack detection algorithm in mobile ad-hoc networks (MANETs)
A Mobile Ad-hoc Network (MANET) is a persistently self configuring, infrastructure-less
network of mobile devices in which every device is wireless, be in motion devoid of …
network of mobile devices in which every device is wireless, be in motion devoid of …
Opposition versus randomness in soft computing techniques
For many soft computing methods, we need to generate random numbers to use either as
initial estimates or during the learning and search process. Recently, results for evolutionary …
initial estimates or during the learning and search process. Recently, results for evolutionary …
Oppositional biogeography-based optimization
We propose a novel variation to biogeography-based optimization (BBO), which is an
evolutionary algorithm (EA) developed for global optimization. The new algorithm employs …
evolutionary algorithm (EA) developed for global optimization. The new algorithm employs …
A novel opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems
Gravitational search algorithm (GSA) is based on the law of gravity and interaction between
masses. In GSA, the searcher agents are a collection of masses, and their interactions are …
masses. In GSA, the searcher agents are a collection of masses, and their interactions are …