[PDF][PDF] Improving software development effort estimating using support vector regression and feature selection

A Zakrani, M Hain, A Idri - IAES International Journal of Artificial …, 2019 - researchgate.net
Accurate and reliable software development effort estimation (SDEE) is one of the main
concerns for project managers. Planning and scheduling a software project using an …

Software effort estimation using machine learning techniques

OP Sangwan - 2017 7th International Conference on Cloud …, 2017 - ieeexplore.ieee.org
Effort Estimation is a very important activity for planning and scheduling of software project
life cycle in order to deliver the product on time and within budget. Machine learning …

[PDF][PDF] Swarm Intelligence

I Cholissodin, E Riyandani - Malang: Fakultas Ilmu Komputer …, 2016 - researchgate.net
Buku ini memberi pemahaman konsep lanjut dan detail penyelesaian untuk pengembangan
Swarm Intelligence mulai dari dasar-dasar sebagai cara yang paling mudah untuk awalan …

Using PSO and SA for optimizing the retardance in dextran-citrate coated ferrofluids

JF Lin, JJ Sheu - Neural Computing and Applications, 2024 - Springer
Double-layer coating of dextran and citrate (DC) on the Fe3O4 (magnetite) ferrofluids (FFs)
has been conducted for biomedical applications such as hyperthermia and magnetic …

A dynamic adaptive particle swarm optimization and genetic algorithm for different constrained engineering design optimization problems

H Zhu, Y Hu, W Zhu - Advances in Mechanical Engineering, 2019 - journals.sagepub.com
A dynamic adaptive particle swarm optimization and genetic algorithm is presented to solve
constrained engineering optimization problems. A dynamic adaptive inertia factor is …

Prediction of covid-19 spreading using support vector regression and susceptible infectious recovered model

T Mantoro, RT Handayanto, MA Ayu… - 2020 6th International …, 2020 - ieeexplore.ieee.org
Many COVID-19 spread predictions have been implemented using various method.
However, most of the prediction are missed because of many factors influence the COVID …

Optimization of multi-trip vehicle routing problem with time windows using genetic algorithm

YP Anggodo, AK Ariyani, MK Ardi… - Journal of …, 2017 - jeest.ub.ac.id
This research studied the application of multitrip vehicle routing problem with time windows
(VRPTW) on the problems of the tourist routes in Banyuwangi. The problems of ordinary …

[PDF][PDF] Hybrid K-Means dan Particle Swarm Optimization untuk clustering nasabah kredit

YP Anggodo, W Cahyaningrum… - … Informasi dan Ilmu …, 2017 - pdfs.semanticscholar.org
Kredit merupakan suatu pendapatan terbesar bagi bank. Akan tetapi, bank harus selektif
dalam menentukan nasabah yang dapat menerima kredit. Permasalahan ini menjadi …

Land Use Growth Simulation and Optimization for Achieving a Sustainable Urban Form

RT Handayanto, NK Tripathi, SM Kim… - TELKOMNIKA …, 2018 - telkomnika.uad.ac.id
Urban areas have been perceived as the source of environmental problems. To avoid
improper land use allocation, negative sprawl effects, and other sources of environmental …

Optimizing laying hen diet using multi-swarm particle swarm optimization

GAF Alfarisy, WF Mahmudy… - … Electronics and Control), 2018 - telkomnika.uad.ac.id
Formulating animal diet by accounting fluctuating cost, nutrient requirement, balanced
amino acids, and maximum composition simultaneously is a difficult and complex task …