Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Swagatam Das"'
Publikováno v:
CEC
We propose a novel Evolutionary Algorithm (EA) based on the Differential Evolution algorithm for solving global numerical optimization problem in real-valued continuous parameter space. The proposed MadDE algorithm leverages the power of the multiple
Publikováno v:
Swarm and Evolutionary Computation. 43:1-30
Due to its simplicity and efficiency, a recently proposed optimization algorithm, Sine Cosine Algorithm (SCA), has gained the interest of researchers from various fields for solving optimization problems. However, it is prone to premature convergence
Publikováno v:
Swarm and Evolutionary Computation. 43:50-68
Over the past few decades, Firefly Algorithm (FA) has attracted the attention of many researchers by virtue of its capability of solving complex real-world optimization problems. The only factor restricting the efficiency of this FA algorithm is the
Autor:
Mostafa Z. Ali, Rammohan Mallipeddi, Guohua Wu, Qizhang Luo, Abhishek Kumar, Swagatam Das, Ponnuthurai Nagaratnam Suganthan
Publikováno v:
Swarm and Evolutionary Computation. 67:100961
Generally, Synthetic Benchmark Problems (SBPs) are utilized to assess the performance of metaheuristics. However, these SBPs may include various unrealistic properties. As a consequence, performance assessment may lead to underestimation or overestim
Publikováno v:
GECCO Companion
Determination of the global optimum of complex non-convex optimization problems of the real-world applications has remained a challenging task. Many researchers have been developing various types of effective direct search-based methods to tackle the
Publikováno v:
Pattern Recognition Letters. 101:80-87
Unlike the canonical k-Nearest Neighbor classifier (kNN) which treat the neighbors equally, the Fuzzy k-Nearest Neighbor (FkNN) classifier imposes a weight on each of the k nearest neighbors based on their distances from the query point, by using a f
Autor:
Arkajyoti Saha, Swagatam Das
Publikováno v:
Information Sciences. 408:129-145
For decades practitioners have been using the center-based partitional clustering algorithms like Fuzzy C Means (FCM), which rely on minimizing an objective function, comprising of an appropriately weighted sum of distances of each data point from th
Publikováno v:
Applied Soft Computing. 57:329-352
Differential Evolution (DE) is currently one of the most competitive Evolutionary Algorithms (EAs) for optimization problems involving continuous parameters. This article presents three very simple modifications to the basic DE scheme such that its p
Publikováno v:
Information Sciences. :28-64
Protein structure prediction (PSP) from its primary sequence is a challenging task in computational biology. PSP is an optimization problem that determines the stable or native structure with minimum free energy. Several researchers have applied vari
Publikováno v:
Swarm and Evolutionary Computation. 33:18-45
Noisy optimization is currently receiving increasing popularity for its widespread applications in engineering optimization problems, where the objective functions are often found to be contaminated with noisy sensory measurements. In absence of know