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1 - 6
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1. Evolutionary computation in scheduling [2020]
- Hoboken, NJ : John Wiley & Sons, Inc., 2020.
- Description
- Book — 1 online resource (xvii, 341 pages) : illustrations
- Summary
-
- List of Contributors vii Editors' Biographies xi Preface xv Acknowledgments xvii
- 1 Evolutionary Computation in Scheduling: A Scientometric Analysis 1 Amir H. Gandomi, Ali Emrouznejad, and Iman Rahimi
- 2 Role and Impacts of Ant Colony Optimization in Job Shop Scheduling Problems: A Detailed Analysis 11 P. Deepalakshmi and K. Shankar
- 3 Advanced Ant Colony Optimization in Healthcare Scheduling 37 Reza Behmanesh, Iman Rahimi, Mostafa Zandieh, and Amir H. Gandomi
- 4 Task Scheduling in Heterogeneous Computing Systems Using Swarm Intelligence 73 S. Sarathambekai and K. Umamaheswari
- 5 Computationally Efficient Scheduling Schemes for Multiple Antenna Systems Using Evolutionary Algorithms and Swarm Optimization 105 Prabina Pattanayak and Preetam Kumar
- 6 An Efficient Modified Red Deer Algorithm to Solve a Truck Scheduling Problem Considering Time Windows and Deadline for Trucks' Departure 137 Amir Mohammad Fathollahi-Fard, Abbas Ahmadi, and Mohsen S. Sajadieh
- 7 Application of Sub-Population Scheduling Algorithm in Multi-Population Evolutionary Dynamic Optimization 169 Javidan Kazemi Kordestani and Mohammad Reza Meybodi
- 8 Task Scheduling in Cloud Environments: A Survey of Population-Based Evolutionary Algorithms 213 Fahimeh Ramezani, Mohsen Naderpour, Javid Taheri, Jack Romanous, and Albert Y. Zomaya
- 9 Scheduling of Robotic Disassembly in Remanufacturing Using Bees Algorithms 257 Jiayi Liu, Wenjun Xu, Zude Zhou, and Duc Truong Pham
- 10 A Modified Fireworks Algorithm to Solve the Heat and Power Generation Scheduling Problem in Power System Studies 299 Mohammad Sadegh Javadi, Ali Esmaeel Nezhad, Seyed-Ehsan Razavi, Abdollah Ahmadi, and Joao P.S. Catalao Index 327.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Chen, Shu-Heng, 1959- author.
- London ; New York : Routledge, Taylor & Francis Group, 2016.
- Description
- Book — xx, 507 pages : illustrations ; 24 cm.
- Summary
-
- Part I. Ideas and Structures of the Book
- 1. Economics in an Interdisciplinary Context
- 2. Agent-Based Modeling in the Social Sciences Part II. Origins of ACE
- 3. The Markets Origin
- 4. Cellular Automata
- 5. Economic Tournament Origin
- 6. Agent-Based Modeling of Economic Experiments Part III. Designing Artificial Economic Agents
- 7. Calibrated Artificial
- 8. Zero-Intelligence Agents in the DA Markets
- 9. Autonomous Agents in the DA Part IV. Computational Intelligence
- 10. Reinforcement Learning
- 11. Fuzzy Logic and Rough Sets
- 12. Artificial Neural Networks
- 13. Evolutionary Part V. Agent-Based Financial Markets
- 14. Artificial Financial Markets with Programmed Agents
- 15. Artificial Financial Markets with Autonomous
- 16. Empirically-Based Agent-Based Models Part VI. Cognitive and Psychological Agent-Based Modeling
- 17. Economic Significance of Personal Traits
- 18. Neuroeconomic
- 19. Cognitive Agents
- 20. Culturally Sensitive Agents
- 21. Agent-Based Lottery Market Part VII. Networks
- 22. Graphs and Social Part VIII. Economics of Changes
- 23. Agent-Based Modular Economy
- 24. Epilogue.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Online
- New York : Physica-Verlag, [2002]
- Description
- Book — 1 online resource (xii, 460 pages)
- Summary
-
- 1 Evolutionary Computation in Economics and Finance: An Overview of the Book.- 2 Playing Games with Genetic Algorithms.- 3 Genetic Algorithm Learning and Economic Evolution.- 4 Using Symbolic Regression to Infer Strategies from Experimental Data.- 5 The Efficiency of an Artificial Double Auction Stock Market with Neural Learning Agents.- 6 On AIE-ASM: Software to Simulate Artificial Stock Markets with Genetic Programming.- 7 Exchange Rate Volatility in the Artificial Foreign Exchange Market.- 8 Using an Artificial Market Approach to Analyze Exchange Rate Scenarios.- 9 Emulating Trade in Emissions Permits: An Application of Genetic Algorithms.- 10 Cooperative Computation with Market Mechanism.- 11 Hysteresis in an Evolutionary Labor Market with Adaptive Search.- 12 Computable Learning, Neural Networks and Institutions.- 13 On Two Types of GA-Learning.- 14 Evolutionary Computation and Economic Models: Sensitivity and Unintended Consequences.- 15 Tinkering with Genetic Algorithms: Forecasting and Data Mining in Finance and Economics.- 16 Forecasting Ability But No Profitability: An Empirical Evaluation of Genetic Algorithm-Optimised Technical Trading Rules.- 17 Evolutionary Induction of Trading Models.- 18 Optimizing Technical Trading Strategies with Split Search Genetic Algorithms.- 19 GP Forecasts of Stock Prices for Profitable Trading.- 20 Option Pricing Via Genetic Programming.- 21 Evolutionary Computation in Option Pricing: Determining Implied Volatilities Based on American Put Options.- 22 Evolutionary Computation in Economics and Finance: A Bibliography.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
4. Evolutionary computation in scheduling [2020]
- Hoboken, NJ : John Wiley & Sons, Inc., 2020.
- Description
- Book — 1 online resource (xvii, 341 pages) : illustrations
- Summary
-
- List of Contributors vii Editors' Biographies xi Preface xv Acknowledgments xvii
- 1 Evolutionary Computation in Scheduling: A Scientometric Analysis 1 Amir H. Gandomi, Ali Emrouznejad, and Iman Rahimi
- 2 Role and Impacts of Ant Colony Optimization in Job Shop Scheduling Problems: A Detailed Analysis 11 P. Deepalakshmi and K. Shankar
- 3 Advanced Ant Colony Optimization in Healthcare Scheduling 37 Reza Behmanesh, Iman Rahimi, Mostafa Zandieh, and Amir H. Gandomi
- 4 Task Scheduling in Heterogeneous Computing Systems Using Swarm Intelligence 73 S. Sarathambekai and K. Umamaheswari
- 5 Computationally Efficient Scheduling Schemes for Multiple Antenna Systems Using Evolutionary Algorithms and Swarm Optimization 105 Prabina Pattanayak and Preetam Kumar
- 6 An Efficient Modified Red Deer Algorithm to Solve a Truck Scheduling Problem Considering Time Windows and Deadline for Trucks' Departure 137 Amir Mohammad Fathollahi-Fard, Abbas Ahmadi, and Mohsen S. Sajadieh
- 7 Application of Sub-Population Scheduling Algorithm in Multi-Population Evolutionary Dynamic Optimization 169 Javidan Kazemi Kordestani and Mohammad Reza Meybodi
- 8 Task Scheduling in Cloud Environments: A Survey of Population-Based Evolutionary Algorithms 213 Fahimeh Ramezani, Mohsen Naderpour, Javid Taheri, Jack Romanous, and Albert Y. Zomaya
- 9 Scheduling of Robotic Disassembly in Remanufacturing Using Bees Algorithms 257 Jiayi Liu, Wenjun Xu, Zude Zhou, and Duc Truong Pham
- 10 A Modified Fireworks Algorithm to Solve the Heat and Power Generation Scheduling Problem in Power System Studies 299 Mohammad Sadegh Javadi, Ali Esmaeel Nezhad, Seyed-Ehsan Razavi, Abdollah Ahmadi, and Joao P.S. Catalao Index 327.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Gorgulho, António M. S. B. S.
- Berlin ; New York : Springer, ©2013.
- Description
- Book — 1 online resource : color illustrations Digital: text file.PDF.
- Summary
-
- Introduction
- Related work
- Solution's architecture
- System validation
- Conclusions and future work.
- Iba, Hitoshi.
- Berlin ; New York : Springer, ©2012.
- Description
- Book — 1 online resource (xii, 246 pages) Digital: text file.PDF.
- Summary
-
- Introduction to Genetic Algorithms
- Advanced topics in Evolutionary Computation
- Financial Engineering
- Predicting Financial Data
- Trend Analysis
- Trading Rule Generation for Foreign Exchange (FX)
- Portfolio Optimization.
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