9 citations · 17 across the 6 of their papers we have counts for
6 papers
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb +1
"Innovization" is a task of learning common relationships among some or all of the Pareto-optimal (PO) solutions in multi- and many-objective optimization problems. Recent studies…
On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization
Divyam Aggarwal, Yash Kumar Singh, Dhish Kumar Saxena
Airline Crew Pairing Optimization (CPO) aims at generating a set of legal flight sequences (crew pairings), to cover an airline's flight schedule, at minimum cost. It is usually pe…
A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks
Divyam Aggarwal, Dhish Kumar Saxena, Saaju Pualose +2
Crew Pairing Optimization (CPO) is critical for an airlines' business viability, given that the crew operating cost is second only to the fuel cost. CPO aims at generating a set of…
On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck +1
Crew pairing optimization (CPO) is critically important for any airline, since its crew operating costs are second-largest, next to the fuel-cost. CPO aims at generating a set of f…
Airline Crew Pairing Optimization Framework for Large Networks with Multiple Crew Bases and Hub-and-Spoke Subnetworks
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck +1
Crew Pairing Optimization aims at generating a set of flight sequences (crew pairings), covering all flights in an airline's flight schedule, at minimum cost, while satisfying seve…
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Back +1
Airline crew pairing optimization problem (CPOP) aims to find a set of flight sequences (crew pairings) that cover all flights in an airline's highly constrained flight schedule at…