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publications, Gonsalves AI Lab

Publications

Refereed journals,

Book Chapters,

International Conferencess,

AI Books

Books

Artificial Intelligence

A Non-Technical Introduction

This book, being a non-technical introduction to AI, can be used as a textbook at the university or college level. Some of its salient features are: 

  • for beginners

  • wide range coverage

  • easy to read

Artifical Intelligence A Non-Technical Introduction

Refereed Journals

Jaychand Upadhay, Deep Q Learning for Autonomous Steering relying solely on Visual Camera, IJIAS Journal, May 2018 (under review).

Tad Gonsalves, Takafumi Okuyama

Swarm Intelligence for Web document classification, Cutter Business Technology Journal, Dec. 2017. 

Tad Gonsalves

Two diverse Swarm Intelligence techniques for Supervised Learning, International Journal of Swarm Intelligence Research, Volume 6 Issue 4, October 2015. pp. 55-66.

Tad Gonsalves

Searching process-analysis diagrams data-base using the Artificial Immune System, SDPS Journal.

Kazunosuke Tomaru, Tad Gonsalves and Kiyoshi Itoh

Feature Subset Optimization through the Fireworks Algorithm, International Journal of Computer Science Engineering, Vol.4, No. 3, 2015, pp. 211-218.

Tad Gonsalves

Memetic Algorithm Memetic Algorithm for the Nurse Scheduling Problem, International Journal of Artificial Intelligence & Applications, Vol. 6, No.4, July 2015, pp.43-52.

Tad Gonsalves and Kohei Kuwata

Design of robust and energy efficient ATO speed profiles of metropolitan lines considering train load variations and delays, IEEE Transactions on Intelligent Transportation Systems, vol. PP, no.99, pp.1-11, 2014.

Fernández Rodríguez, A. Fernández-Cardador, A. Cucala, A.P. Domínguez, M. Gonsalves, T.

Feed-forward Neural Network Training using Particle Swarm Optimization, Advances in Computer Science and Engineering, 2014, 12(1):1-13.

Tad Gonsalves and Akihiko Oguro

Multi Objective Particle Swarm Optimization algorithm for the design of efficient ATO speed profiles in metro lines, Engineering Applications of Artificial Intelligence, vol. 29, March 2014, pp. 43–53.

María Domínguez, Antonio Fernández-Cardador, A. Paloma Cucala and Tad Gonsalves

Parallel Swarms Oriented Particle Swarm Optimization, Applied Computational Intelligence and Soft Computing, vol.2013, Article ID 756719, http://dx.doi.org/10.1155/2013/756719.

Tad Gonsalves and Akira Egashira

CLONALG for improving software development cost models, Advances in Computer Science & Engineering; Nov. 2012, Vol. 9 Issue 2, pp.133-151.

Tad Gonsalves

GA Optimization of Petri Net-Modeled Concurrent Service Systems, Applied Soft Computing, Volume 11, Issue 5, July 2011, pp. 3929-3937.

Tad Gonsalves and Kiyoshi Itoh

Multi-objective optimization in service systems, Journal of Digital Information Management, Vol.8, No.4, August 2010, pp.254-259.

Tad Gonsalves, Kei Yamagishi and Kiyoshi Itoh

Simulation Optimization of practical concurrent service systems, In, Intelligent Automation and Computer Engineering, Springer, Lecture Notes in Electrical Engineering, 2010, Volume 52, pp. 67-77.

Tad Gonsalves and Kiyoshi Itoh

Service Optimization with Patient Satisfaction, In: Healthcare Systems, Journal of Simulation, Special Issue: Simulation in Healthcare, Vol. 3, Issue 3, 2009, pp.150-162.

Tad Gonsalves and Kiyoshi Itoh

Task Segmentation and GA for the Optimization of Software development Multi-Project Schedule, ソフトウェア工学の基礎論文集,Vol.15, 2008, pp.31-40.

Tad Gonsalves, Ryo Kawabata, Kiyoshi Itoh

Petri Net Tools for the Analysis of Collaborative Tasks, Journal of Integrated Systems, Design, and Process Science, March 2008, Vol. 12, No. 1, pp. 25-40.

Tad Gonsalves, R. Kawabata, S. Tabata, and K. Itoh

Performance Simulation and Design of Petri Net Systems, Journal of Integrated Systems, Design, and Process Science, December 2008, Vol. 12, No. 4, pp. 27-37.

Tad Gonsalves and K. Itoh

Performance Simulation and Design of Petri Net Systems, Journal of Integrated Systems, Design, and Process Science, December 2008, Vol. 12, No. 4, pp. 27-37.

Tad Gonsalves and Kiyoshi Itoh

Performance Design Rationale Framework, SDPS Journal, Vol. 11, No. 1, pp. 61-74, March 2007.

Tad Gonsalves, Kiyoshi Itoh

GA Optimization of Collaborative Systems, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.7, pp. 793-802, 2007.

Tad Gonsalves, Shinichiro Baba, and Kiyoshi Itoh

Heuristics and Qualitative Rules for the Performance Design of Collaborative Systems, SDPS Journal, Vol. 10, No. 2, pp. 35-44, 2007.

Tad Gonsalves, Kiyoshi Itoh

Simulated Annealing in the Optimization of Collaborative Systems Operation, SDPS Journal, Vol. 10, No. 3, pp. 87-95, 2006.

Tad Gonsalves, Kiyoshi Itoh

Computer-Mediated Collaborative Engineering System (CMCES) and its Applications to Education, SDPS Journal , Vol.9, No.2, pp.13-31, 2005. Tad Gonsalves: Creation and Brief history of time, JDV Philosophy Series IX, Jnanadeep Vidyapeeth University, Pune, India, pp. 46-55, 1994.

Tad Gonsalves, Ryo Kawabata, Kengo Nakagawa, Yuuki Ishikawa, Kiyoshi Itoh

Simulation of electron motion in a dense medium, 1992 Annual Physics Journal, Publication of the Poona University, Pune, India, 1992, pp. 12-19.

Tad Gonsalves

Energy mechanism in QUASARS, 1990 Annual Physics Journal, Publication of the Poona University, Pune, India, 1990, pp.54-60.

Tad Gonsalves

本の山

Book Chapters

The Summers and Winters of Artificial Intelligence, Encyclopedia of Information Science and Technology, (4th ed.),2016, pp. 229-238.

Tad Gonsalves

Board Games AI, Encyclopedia of Information Science and Technology, (4th ed.),2016,pp.144-155.

Tad Gonsalves

Hybrid Swarm Intelligence, Encyclopedia of Information Science and Technology, (3rd ed., Mehdi Khosrow-Pour ed.), Information Science Reference, 2014, pp. 185-196.

Tad Gonsalves

Web Mining – the state of the art, Encyclopedia of Information Science and Technology, (3rd ed., Mehdi Khosrow-Pour ed.), Information Science Reference, 2014, pp. 1937-1947.

Tad Gonsalves

Optimizing Software Development Cost Estimates using Multi-objective Particle Swarm Optimization, In: F. Meziane & S. Vadera (eds.) AI Applications for Improved SE Development New Prospects, IGI Global, New York, 2009, pp. 45-65.

Tad Gonsalves, Kei Yamagishi, Ryo Kawabata and Kiyoshi Itoh

Generic Core Life Cycle and Conceptual Architecture for the Development of Collaborative Systems, In: Knowledge Sharing in the Integrated Enterprise (P. Bernus and M. Fox (ed.), pp.417-426, Springer, 2005.

Tad Gonsalves, Kiyoshi Itoh

Performance Design and Improvement of Collaborative Systems by the application of Knowledge-Based Qualitative Reasoning, The ATLAS Module Series on Transdisciplinary Education & Research, Vol.1, No.1, pp. 1-31, November 2005.

Tad Gonsalves, Ryo Kawabata, Kiyoshi Itoh

Cost Minimization in Service Systems using Particle Swarm Optimization, In: R. Lee (ed) Software Engineering, Artificial Intelligence, Networking, and Parallel / Distributed Computing, Studies in Computational Intelligence, 149, pp.151-161, Springer, 2008.

Tad Gonsalves and Kiyoshi Itoh

Composite Service Model for the Performance Design of Collaborative Systems, The ATLAS Module Series on Transdisciplinary Education & Research, Vol.3, No.1, pp. 1-41, 2007.

Tad Gonsalves, Kiyoshi Itoh, Ryo Kawabata

学会発表

International Conferences

Autonomous Driving System based on Deep Q Learnig, ICoIAS2018, Singapore, March 2018.

Takafumi Okuyama, Tad Gonsalves, Jaychand Upadhay

Human-Like Autonomous Navigation for Collision Avoidance in Dynamic Environments, SDPS 2017, Dec. 2017.

Daichi Kawamura, Tad Gonsalves

Traffic Signs Automatic Recognition Using Convolution Neural Network, SDPS 2017, Dec. 2017.

Rina Komatsu, Tad Gonsalves

Emergent Intelligence and Machine Learning, IC-LYCS2017, March, 2017. 

Tad Gonsalves

Fine-tuning of Convolution Nets for efficient image recognition, SDPS 2016.

Takafumi Okuyama, Tad Gonsalves

Genetic Algorithm aided learning in Traffic Lights Recognition, ASCE2016, July 2016. 

Tad Gonsalves, Stefan Munk

Machine Learning for autonomous lane keeping, ASCE2016, July 2016.

Kazuya Sano, Tad Gonsalves

Genetic Algorithm and Neural Network for Autonomous Driving, SDPS2015, Dallas, Nov. 2015.

Kazuya Sano, Tad Gonsalves

Optimization of Feature Selection using Particle Swarm Optimization, SDPS2015, Dallas, Nov. 2015.

Yasuaki Nishimoto, Tad Gonsalves

Data Clustering through Particle Swarm Optimization driven Self-Organizing Maps, IIST2015, February, 2015.

Tad Gonsalves and Yasuaki Nishimoto

 Ant Colony Optimization for Capacity problems, ARIA2015, January, 2015.

Tad Gonsalves and Takafumi Shiozaki 

Classification of Blog writers, SDPS2014, June 2014.

Yasuaki Nishimoto and Tad Gonsalves

Expert system for maintaining a healthy life-style, SDPS2014, June 2014.

Tad Gonsalves and Ayako Fukunaga

A Management and queuing trade-off in business systems, ICCSLE, Sept. 2013.

Tad Gonsalves

Wind Farm Optimization Model of Turbines Layout Using Differential Evolution, ICCSLE, Sept. 2013.

Yu Kanki, Tad Gonsalves

Expert System for food suggestion and medical checkup, ICCSLE, Sept. 2013.

Yujiro Ogata and Tad Gonsalves

Multi-modal Optimization using a Simple Artificial Immune Algorithm, ICCGI2012.

Tad Gonsalves and Yu Aiso

Evaluation of the performance of interactive ACO algorithms on simulated breeding, ASC2012.

Ryoji Tanabe and Tad Gonsalves

Feature subset selection in software cost models using the Artificial Immune  Algorithm, SE2012.

Tad Gonsalves

Customer satisfaction and cost optimization in service systems, IICAI2011, Dec. 2011.

Tad Gonsalves and Kiyoshi Itoh

Improving customer satisfaction using the Artificial Immune System, IMECS2011, March 2011.

Tad Gonsalves and Kiyoshi Itoh

Searching process-analysis diagrams data-base using the Artificial Immune System, SDPS 2011.

Kazunosuke Tomaru, Tad Gonsalves and Kiyoshi Itoh

A new node-selection procedure for solving TSP using the ACO algorithm, SDPS 2011.

Ryoji Tanabe, Tad Gonsalves and Kiyoshi Itoh

Optimal Staff Allocation using Particle Swarm Optimization, CI2010, pp.7-13.

Tad Gonsalves and Kiyoshi Itoh

Multi-Objective Optimization for Software Development Projects, IMECS2010, March 2010.

Tad Gonsalves and Kiyoshi Itoh

Operational Cost Optimization using Artificial Immune System, IICAI09, Dec. 2009.

Tad Gonsalves and Kiyoshi Itoh

Skill-based Staff Allocation Optimization in Software Development Projects, FOSE2009.

Tad Gonsalves, Kei Yamagishi, Ryo Kawabata, Kiyoshi Itoh

A hybrid meta-heuristic algorithm for the minimization of software development multi-project schedule, ASC09, Sept. 2009.

Tad Gonsalves and Kiyoshi Itoh

Service cost and waiting time – a multi-objective optimization scenario, ICADIWT09, Aug. 2009.

Tad Gonsalves, Kei Yamagishi and Kiyoshi Itoh

Swarm Intelligence in the Fine-Tuning of Software Development Cost Estimation Models. COMPSAC2009, pp. 593-598.

Tad Gonsalves, Kei Yamagishi, Kiyoshi Itoh

Swarm Intelligence in the Optimization of Concurrent Service Systems, IMECS09, March 2009.

Tad Gonsalves and Kiyoshi Itoh

Simultaneous optimization of service cost and waiting cost in service systems, 2009 International Conference on Artificial Intelligence and Pattern Recognition,AIPR-09, July 2009.

Tad Gonsalves, Kei Yamagishi, and Kiyoshi Itoh

Optimization of Concurrent Service Systems, SCIS&ISIS2008, Sept. 2008.

Tad Gonsalves Kiyoshi Itoh

Service Systems Performance Ontology, IDPT2008, June 2008.

Tad Gonsalves, Teruhiro Tagomori and Kiyoshi Itoh

Collaborative Systems Optimization using ACO, IDPT2008, June 2008.

Tad Gonsalves, Kei Yamagishi and Kiyoshi Itoh

Swarm Intelligence in the Optimization of Software Development Project Schedule, 3rd IEEE International Workshop on Engineering Semantic Agent Systems, ESAS 2008, July 2008.

Tad Gonsalves, Atsushi Ito, Ryo Kawabata, Kiyoshi Itoh

Optimization of Software Development Project Schedule using Genetic Algorithm, Fundamentals of Software Engineering, Fundamentals of Software Engineering, FOSE, Nov. 2008.

Tad Gonsalves and Kiyoshi Itoh

Towards a New Transdiciplinary Architecture for Knowledge Based Systems, IDPT2007, June 2007.

Tad Gonsalves, Ryo Kawabata and Kiyoshi Itoh

Performance Simulation and Design of Petri Net Systems, IDPT2007, June 2007.

Tad Gonsalves, Keigo Shiiba and Kiyoshi Itoh

Optimization of Collaborative Systems Operation using Genetic Algorithm, Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2006), September 2006.

Tad Gonsalves, Shinichiro Baba and Kiyoshi Itoh

Simulated Annealing in The Optimization of Collaborative Systems Operation, IDPT2006, June 2006.

Tad Gonsalves and Kiyoshi Itoh

Heuristics and Qualitative Rules for the Performance Design of Collaborative Systems, IDPT2005, June 2005.

Tad Gonsalves and Kiyoshi Itoh

Generic Core Life Cycle and Conceptual Architecture for the Development of Collaborative Systems, IFIP DIISM2004, October 2004.

Tad Gonsalves and Kiyoshi Itoh

Use of Petri nets in the Performance Design and Improvement of Collaborative Engineering Systems, 2004 IDPT Symposium on System Design and Software Engineering, June 2004.

Tad Gonsalves, Kiyoshi Itoh, Ryo Kawabata

Perspective Allocating Qualitative Function for Performance Design and Improvement of Collaborative Engineering Systems, ECEC2004, (April 2004).

Tad Gonsalves, Kiyoshi Itoh, and Ryo Kawabata

Simulated Annealing in The Optimization of Collaborative Systems Operation, IDPT2006, June 2006.

Tad Gonsalves and Kiyoshi Itoh

Others

Two diverse Swarm Intelligence techniques for Supervised Learning, International Journal of Swarm Intelligence, Volume 6 Issue 4, October 2015, pp.55-66.

Tad Gonsalves

Artificial Immune Algorithm for exams timetable, Journal of Information Sciences and Computing Technologies, Journal of Information Sciences and Computing Technologies, Vol 4, No 2, July 7, 2015, pp.287-296.

Tad Gonsalves and Rina Oishi

Solving Capacity Problems as Asymmetric Travelling Salesman Problems, International Journal of Artificial Intelligence & Applications (IJAIA), Volume 6, Number 1, March 2015, pp.53-65.

Tad Gonsalves and Takafumi Shiozaki

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