Results 71 to 80 of about 3,757,573 (172)

Impact of popular chaotic maps on population initialization of Sailfish Optimizer Algorithm – An experimental study

ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
Initial population in a swarm intelligence-based optimization algorithm plays an important role in avoiding local optima, early convergence, and global space exploration. If initial values provide proper coverage of the search space, then it may quickly lead to the optimal solution, whereas limited coverage may stick an algorithm into local optima ...
Saboohi Naeem Ahmed, Adnan A. Siddiqui, M. R. Tanweer, Narmeen Bawany   +3 more
openaire   +1 more source

Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods [PDF]

, 2009
In this paper we give a general framework for isotone optimization. First we discuss a generalized version of the pool-adjacent-violators algorithm (PAVA) to minimize a separable convex function with simple chain constraints.
de Leeuw, Jan, Kurt Hornik, Mair, Patrick, Patrick Mair, Jan de Leeuw, Hornik, Kurt, Leeuw, Jan de   +6 more
core   +1 more source

Algorithm optimization for solving crew scheduling problems [PDF]

, 2013
In this paper, we are proposing a methodology to determine the most efficient and least costly way of crew pairing optimization. We are developing a methodology based on algorithm optimization on Eclipse opensource IDE using the Java programming language
Oketch, Christine A.
core  

Discovering Regression Rules with Ant Colony Optimization [PDF]

, 2015
The majority of Ant Colony Optimization (ACO) algorithms for data mining have dealt with classification or clustering problems. Regression remains an unexplored research area to the best of our knowledge.
Brookhouse, James, Otero, Fernando E.B., James Brookhouse, Fernando E.B. Otero   +3 more
core   +1 more source

Orthogonal methods based ant colony search for solving continuous optimization problems [PDF]

, 2008
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation.
Jun Zhang, Yun Li 李 耘, Hu, X., Xiao-min Hu, Li, Y., Zhang, J.   +5 more
core   +1 more source

Detecting Autism spectrum disorder with sailfish optimisation [PDF]

, 2021
68-73Autism Spectrum Disorder (ASD), a neurodevelopmental disorder, has been a bottleneck to several clinical researchers due to data modularization, subjective analysis, and shifts in the accurate prediction of the disorder amongst the sample ...
Balakrishnan, K, Dhanalakshmi, R, Khaire, Utkarsh Mahadeo   +2 more
core  

Model Optimization of Kinematic Redundant Feed Drive Systems Using Sailfish Optimization Algorithm

International Journal of Mechanical Engineering and Robotics Research, 2022
M. G. A. Nassef, Taha Mostafa, Christian Schenck   +2 more
openaire   +1 more source

Sailfish [title supplied by cataloger]

Painting of sailfish against yellow background ...
Bush, Tim
core  

Differential Evolution for Multiobjective Portfolio Optimization [PDF]

Financial portfolio optimization is a challenging problem. First, the problem is multiobjective (i.e.: minimize risk and maximize profit) and the objective functions are often multimodal and non smooth (e.g.: value at risk).
Thiemo Krink, Sandra Paterlini
core  

Hybrid behavioural-based multi-objective space trajectory optimization [PDF]

, 2009
In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, Massimiliano
core   +2 more sources