Results 31 to 40 of about 550,063 (331)
Chicken Swarm Optimization Based on Elite Opposition‐Based Learning
Mathematical Problems in Engineering, 2017 Chicken swarm optimization is a new intelligent bionic algorithm, simulating the chicken swarm searching for food in nature. Basic algorithm is likely to fall into a local optimum and has a slow convergence rate. Aiming at these deficiencies, an improved chicken swarm optimization algorithm based on elite opposition‐based learning is proposed.
Chiwen Qu +3 more
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Algorithms, 2022 The slime mold algorithm (SMA) is a swarm-based metaheuristic algorithm inspired by the natural oscillatory patterns of slime molds. Compared with other algorithms, the SMA is competitive but still suffers from unbalanced development and exploration and ...
Yunyang Zhang, Shiyu Du, Quan Zhang
doaj +1 more source
Determination of Friendship Intensity between Online Social Network Users Based on Their Interaction [PDF]
, 2018 Online social networks (OSN) are one of the most popular forms of modern communication and among the best known is Facebook. Information about the connection between users on the OSN is often very scarce. It's only known if users are connected, while the
Humski, Luka +2 more
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Learning and steering: changing implementation patterns and the Greek central government [PDF]
, 2001 Greece is frequently characterized as a laggard in the implementation of EU policy. This article examines the key characteristics of the Greek central government and links them to patterns of policy implementation.
Dimitrakopoulos, Dionyssis G.
core +1 more source
Open Mathematics, 2016 A major drawback of orthogonal frequency division multiplexing (OFDM) signals is the high value of peak to average power ratio (PAPR). Partial transmit sequences (PTS) is a popular PAPR reduction method with good PAPR reduction performance, but its ...
Goudos Sotirios K.
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Advances in Electrical and Computer Engineering, 2015 This paper presents the application of hybrid opposition based disruption operator in gravitational search algorithm (DOGSA) to solve automatic generation control (AGC) problem of four area hydro-thermal-gas interconnected power system.
DAHIYA, P., SHARMA, V., NARESH, R.
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Retracted: Improved artificial bee colony algorithm with opposition‐based learning
IET Image Processing, 2020 The artificial bee colony (ABC) algorithm is a biological‐inspired optimisation algorithm proposed by Karaboga. Since its solution search equation is good at exploration but poor at exploitation, the ABC algorithm converges slowly and is easy to fall ...
Yongcun Cao, Saisai Ji, Yong Lu
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TAPping into argumentation: Developments in the application of Toulmin's Argument Pattern for studying science discourse [PDF]
, 2004 This paper reports some methodological approaches to the analysis of argumentation discourse developed as part of the two-and-a-half year project titled "Enhancing the Quality of Argument in School Science" supported by the Economic and Social Research ...
Erduran, S +2 more
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Hybrid Harmony Search Optimization Algorithm for Continuous Functions
Mathematical and Computational Applications, 2023 This paper proposes a hybrid harmony search algorithm that incorporates a method of reinitializing harmonies memory using a particle swarm optimization algorithm with an improved opposition-based learning method (IOBL) to solve continuous optimization ...
José Alfredo Brambila-Hernández +4 more
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Opposition-Based Learning in Compact Differential Evolution
, 2011 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.
Iacca, Giovanni +2 more
openaire +2 more sources