Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Kenji Kawakami
Genetic Algorithm Approach to Multi-Objective Scheduling Problem in Plastics Forming Plant
Related publications
Hybrid Evolutionary Approach for Multi-Objective Job-Shop Scheduling Problem
Malaysian Journal of Computer Science
Computer Science
Genetic Algorithm for Solving a Multi-Objective Helicopter Routing Problem
Genetic Algorithm for Large-Size Multi-Stage Batch Plant Scheduling
Chemical Engineering Science
Applied Mathematics
Chemistry
Chemical Engineering
Manufacturing Engineering
Industrial
A Genetic Algorithm Approach to the Nurse Scheduling Problem With Fuzzy Preferences
IMA Journal of Management Mathematics
Management
Finance
Applied Mathematics
Economics
Simulation
Management Science
Management Information Systems
Modeling
Strategy
Econometrics
Operations Research
Providing an Evolutionary Approach for Multi-Objective Portfolio Optimization Problem by Using Evolutionary Algorithm Multi-Objective NSGAⅡ
Betriebswirtschaftliche Forschung und Praxis
Management
Business
Economics
International Management
Accounting
Econometrics
An Adaptive Multi-Population Artificial Bee Colony Algorithm for Multi-Objective Flexible Job Shop Scheduling Problem
Combinatorics Based Problem Specific Software Architecture Formulation Using Multi-Objective Genetic Algorithm
International Journal of Engineering and Technology(UAE)
Architecture
Hardware
Engineering
Chemical Engineering
Biotechnology
Environmental Engineering
Computer Science
The Multi-Objective Genetic Algorithm Optimization, of a Superplastic Forming Process, Using Ansys®
MATEC Web of Conferences
Materials Science
Engineering
Chemistry
Application of Genetic Algorithm to the Manpower Scheduling Problem
IEEJ Transactions on Electronics, Information and Systems
Electronic Engineering
Electrical