Scientific Research Publishing

Central Force Optimization Applied to the PBM Suite of Antenna Benchmarks ()

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
Frontiers

A hybrid metaheuristic algorithm with machine learning for detecting denial-of-service attacks in wireless sensor networks

1 School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India 2 Centre for Smart Grid Technologies, Vellore Institute of Technology, Chennai, Tamil Nadu, ...
Scientific Research Publishing

Salimi, H. (2015) Stochastic Fractal Search: A Powerful Metaheuristic Algorithm. Knowledge-Based Systems, 75, 1-18.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
The New York Times

I’m Building an Algorithm That Doesn’t Rot Your Brain

new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript “Our brains are being melted by the algorithm.” [MUSIC PLAYING] “Attention is infrastructure.” “Those algorithms are ...
IEEE

A Hybrid Metaheuristic Algorithm for Multiobjective Scheduling in Distributed Heterogeneous Flexible Job Shops

Abstract: To address the issues of insufficient population diversity and the tendency to fall into local convergence in the NSGA-II algorithm for distributed heterogeneous flexible job shop scheduling ...