… nature of the evolutionary process. This paper presents a novel algorithm to accelerate …
differential evolution (DE). The proposed opposition-based DE (ODE) employs opposition-based …

… This paper presents a new scheme for evolutionary algorithms by applying opposition-based
learning [6] to make EAs faster. The main idea behind the opposition-based learning is …

… This paper presents a new opposition-based differential evolution (ODE) algorithm. It … by
applying opposition-based learning [7]. The main idea behind the opposition-based learning is …

… as opposition-based differential evolution … oppositionbased differential evolution Type-II
(ODE-II) algorithm; it is validated on the testbed proposed for the IEEE Congress on Evolutionary …

… Opposition-based learning (OBL) is an effective strategy to enhance many optimization
methods among which opposition-based differential evolution (ODE) is one of the successful …

… opposition-based learning (GOBL) to improve the performance of differential evolution (DE)
to … schemes of opposition-based DE (ODE) for opposition-based population initialization and …

… In one of the most recent works, [29] employs a DE algorithm improved by opposition-based …
on differential evolution incorporating a clustering algorithm and opposition-based learning. …

… and then we compare the performance of various oppositionbased DE algorithms. In the
experiments, … Section 3 gives a general descriptions of opposition-based DE. Section 4 presents …

… Opposition-based learning (OBL), which plays an important role in soft computing, has …
To solve these issues, this paper proposes a novel opposition, called dual opposition-based …

… using the opposition-based learning (OBL) strategy in the shuffled differential evolution (…
and each memeplex is improved by the differential evolution (DE) algorithm. The OBL by …