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Genetic Algorithms and Their Applications
1
Comprehensive guide for software development interviews.
Over 250 interview problems with detailed solutions.
Illustrated with 200 figures and 300 tested programs.
Includes strategies for successful interviews and negotiations.
Covers data structures, algorithms, and problem-solving patterns.
Practical approach to computer science fundamentals.
Real-world computing problems for effective practice.
Average Rating out of 5:
Price Range: $36.85
2
Advanced topics in machine learning and statistics.
Focus on deep learning and Bayesian inference.
Covers generative models and decision making.
Contributions from top researchers and experts.
Includes online Python code accompaniment.
Essential for graduate students and researchers.
Explores causal inference and probabilistic modeling.
Average Rating out of 5:
Price Range: $142.50
3
Fun and educational Python projects await you. Enhance your skills with playful programming activities. Zany twists featuring pop culture and history. Use Python libraries for real-world applications. Engage with projects like cryptanalysis and genetic algorithms. Perfect for beginners looking to level up. Endless geeky fun and learning opportunities.
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Price Range: $17.99
4
Accessible introduction to genetic algorithms
Focus on machine learning and scientific modeling
Includes hands-on implementation and experiments
Explores applications across various disciplines
Engaging exercises to reinforce understanding
Detailed discussions on theory and future prospects
Perfect for students and researchers alike
Average Rating out of 5:
Price Range: $29.88
5
Classic papers from influential computer science pioneers.
Covers evolution from 1936 to 1980.
Includes works by Aristotle, Turing, and Moore.
Explores theory, architecture, algorithms, and software systems.
Provides historical context for each paper.
Editorship by Harry Lewis enhances understanding.
Essential reading for computer science enthusiasts.
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Price Range: $60.00
6
Learn Golang programming quickly and efficiently.
Perfect for high school and college students.
Includes practical examples and exercises.
Clear definitions and explanations throughout.
Structured layout for easy understanding.
Not suitable for experienced programmers.
Enjoyable reading experience with distinctive style.
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Price Range: $13.99
7
Introduces engineering principles of embedded systems.
Focuses on modeling cyber-physical systems.
Covers design and analysis techniques.
Includes two new chapters in the second edition.
Offers exercises for practical understanding.
Suitable for advanced undergraduates and graduates.
Ideal reference for engineers and computer scientists.
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Price Range: $44.31
8
Hands-on introduction to genetic algorithms with Python.
Learn to solve complex problems efficiently.
Step-by-step projects enhance practical skills.
Explore fitness determination and algorithm optimization.
Minimal Python features for easy comprehension.
Source code available under Apache License.
Perfect for beginners and experienced programmers alike.
Average Rating out of 5:
Price Range: $19.97
9
Revolutionizes understanding of evolution and learning.
Explores coping strategies in complex environments.
Introduces "probably approximately correct" algorithms.
Connects behavior, cognition, and biological evolution.
Addresses nature versus nurture debates.
Explains limits of artificial intelligence insights.
Impacts perspectives on human and machine intelligence.
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Price Range: $2.51
10
Master genetic algorithms using Python libraries.
Enhance AI applications with search and optimization.
Explore reinforcement learning and NLP applications.
Deploy algorithms using cloud computing for efficiency.
Gain practical experience with real-world projects.
Learn explainable AI and image reconstruction techniques.
Suitable for data scientists and AI enthusiasts.
Average Rating out of 5:
Price Range: $38.83
11
Dive into the history of programming languages.
Explore creative and unusual coding approaches.
Learn programming with visual languages like Piet.
Write two-dimensional programs using Befunge.
Implement algorithms with SNOBOL language techniques.
Decipher complex Brainfuck code easily.
Create and design your own programming languages.
Average Rating out of 5:
Price Range: $46.49
12
Proceedings of ICSI 2023 conference.
Focus on swarm intelligence advancements.
Includes 81 peer-reviewed research papers.
Organized into 12 thematic sections.
Covers robotics, AI, and data mining.
Important topics: optimization and scheduling.
Highlights from Shenzhen, China event.
Price Range: $8.15
13
Comprehensive guide to genetic algorithms.
Suitable for students and practitioners alike.
Informal and tutorial writing style.
Real-world examples to illustrate concepts.
Minimal programming and mathematics background required.
Includes Pascal programs for major algorithms.
Applicable across various fields and industries.
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Price Range: $4.82
14
Comprehensive introduction to evolutionary computing concepts.
Three-part structure: basics, methodology, advanced topics.
Focus on problem-solving and algorithm design.
Includes chapters on parameter tuning and evolutionary robotics.
Suitable for undergraduates and graduates in AI.
Ideal for practitioners and researchers in bioinspired design.
Updated second edition with reorganized and relevant material.
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Price Range: $49.99
15
Accessible introduction to genetic algorithms.
Explores applications in diverse scientific fields.
Covers machine learning and scientific modeling.
Includes thought-provoking exercises for better understanding.
Discusses evolutionary computation's future prospects.
Detailed explanations of key concepts and terminology.
Suitable for students and researchers across disciplines.
Average Rating out of 5:
Price Range: $2.34
16
Revolutionary theory on evolution and learning.
Explains survival in complex, unpredictable environments.
Introduces "probably approximately correct" algorithms concept.
Demonstrates coping without theoretical knowledge.
Explores nature versus nurture dynamics.
Insights on human and machine intelligence limits.
Impacts understanding of behavior and cognition.
Average Rating out of 5:
Price Range: $11.99
17
Comprehensive guide on multi-objective evolutionary algorithms.
Expanded second edition for classroom learning.
Innovative presentation of complex concepts.
Includes practical applications and test suites.
Features state-of-the-art research and methodologies.
Suitable for both students and professionals.
Discusses serial and parallel algorithm implementations.
Average Rating out of 5:
Price Range: $109.20
18
Comprehensive guide on genetic algorithms and data structures.
Applies evolution principles to optimize complex problems.
Addresses scheduling, partitioning, and control optimization challenges.
Self-contained, requiring only basic undergraduate math knowledge.
Includes three new chapters and additional working material.
Explores recent developments in evolutionary computation techniques.
Essential read for computer science and optimization enthusiasts.
Average Rating out of 5:
Price Range: $88.36
19
Explores autonomous micromanagers in business optimization.
Addresses AI challenges for small businesses and organizations.
Analyzes quantitative tasks through economics and statistics.
Questions AI definitions and “microprediction” roles.
Advocates for market-inspired “superminds” in micromanagement.
Proposes a cost-effective alternative to data science.
Empowers engineers with general-purpose APIs and libraries.
Average Rating out of 5:
Price Range: $23.45
20
Comprehensive introduction to sound design concepts.
Covers gaming and virtual reality applications.
Explores compositional techniques and new interfaces.
Focuses on sound spatialization and sonic cues.
Features multidisciplinary perspectives from international authors.
Ideal for students, researchers, and practitioners.
Surveys key trends in interactive sound design.
Price Range: $47.99
21
A new framework for understanding computing principles.
Spans technologies, algorithms, architectures, and designs.
Views computing as a science, not just technology.
Introduces six categories: communication, computation, coordination, etc.
Essential for professionals in science and engineering fields.
Accessible entry for non-computer science majors.
Applies principles to networking, especially the Internet.
Average Rating out of 5:
Price Range: $35.00
22
Learn genetic algorithms and machine learning techniques.
Create AI models and solve complex problems.
Explore nature-inspired algorithms like swarms and simulations.
Test and visualize your machine learning code.
Suitable for beginner-to-intermediate programmers.
Code in C++, Python, and JavaScript.
Gain hands-on experience with practical recipes.
Average Rating out of 5:
Price Range: $31.79
23
Fundamentals of genetic algorithms explained clearly.
Applicable in various engineering and scientific fields.
Includes updated MATLAB codes for practical use.
Thorough discussion on hybrid genetic algorithms.
More examples compared to the first edition.
Ideal for both beginners and experienced practitioners.
Enhances understanding of algorithmic problem-solving techniques.
Average Rating out of 5:
Price Range: $149.95
24
Comprehensive introduction to optimization algorithms. Unified approach balancing theory and practice. Includes diverse nature-inspired algorithms for optimization. New chapters on mathematical foundations and data mining. Step-by-step algorithm introductions for easy understanding. Ideal for graduates and lecturers in various fields. Supplemented with case studies for real-world application.
Average Rating out of 5:
Price Range: $107.11
25
Concise introduction to artificial intelligence concepts.
Written by pioneering AI expert Kevin Warwick.
Explores man versus machine philosophical questions.
Discusses advancements in robotics and technology.
Covers sensory input and machine intelligence.
Addresses consciousness and neural culturing debates.
Accessible for beginners and enthusiasts alike.
Average Rating out of 5:
Price Range: $20.47
26
Learn genetic algorithms using familiar Elixir language.
Explore applications in finance and artificial intelligence.
Start from basics to advanced problem-solving techniques.
Utilize Elixir features for concise algorithm writing.
Understand lifecycle of genetic algorithm development.
Visualize and analyze algorithms with real-world examples.
No need to learn new languages or frameworks.
Average Rating out of 5:
Price Range: $26.69
27
Explores neural networks and fuzzy logic integration.
Discusses cellular neural networks for complex problem-solving.
Covers evolutionary algorithms for optimization tasks.
Applications in urban traffic noise monitoring.
Insights into robot control methodologies.
Focus on rapid thermal process systems.
Addresses chaotic dynamics in complex systems.
Price Range: $39.99
28
2-Year pocket planner for 2024-2025.
Compact size fits easily in purses.
Inspirational quotes for daily motivation.
Monthly calendar spreads for easy scheduling.
Quality paper for a premium feel.
Includes contact and password log pages.
Perfect gift for yourself or loved ones.
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Price Range: 0
29
Comprehensive guide to genetic algorithms in Python.
Practical applications for AI and machine learning tasks.
Utilizes popular libraries like DEAP and scikit-learn.
Hands-on experience with real-world optimization problems.
Enhance performance of deep learning models effectively.
Explore bio-inspired computation techniques and strategies.
Ideal for developers and AI enthusiasts alike.
Average Rating out of 5:
Price Range: $39.89
30
Comprehensive guide to soft computing techniques.
Focuses on neuro-fuzzy and genetic algorithms.
Introduces concepts with clear, practical examples.
Encourages learner engagement through interactive instances.
Covers fuzzy logic and artificial neural networks.
Ideal for students and professionals alike.
Expands understanding of human-like intelligence capabilities.
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Price Range: 0
