Volume 3: Complex Coding Systems of the Practical Handbook of Genetic Algorithms contains computer-code examples for the development of genetic algorithm systems, compiling them from an array of practitioners in the field. Each contribution of this singular resource includes unique code segments, documentation, description of the operations performed, rationale for the chosen approach, and problems the code overcomes or addresses. It complements the first two volumes in the series by offering examples of computer code and differs from them by concentrating on specific functions in genetic…mehr
Volume 3: Complex Coding Systems of the Practical Handbook of Genetic Algorithms contains computer-code examples for the development of genetic algorithm systems, compiling them from an array of practitioners in the field. Each contribution of this singular resource includes unique code segments, documentation, description of the operations performed, rationale for the chosen approach, and problems the code overcomes or addresses. It complements the first two volumes in the series by offering examples of computer code and differs from them by concentrating on specific functions in genetic algorithms, serving as the only compilation of useful and usable computer codes in the field.
A Lamarckian Evolution Strategy for Genetic Algorithms. The Generalization and Solving of Timetable Scheduling Problems. Implementing Fast and Flexible Parallel Genetic Algorithms. Pattern Evolver. Matrix-Based GA Representations in a Model of Evolving Animal Communication. Algorithms to Improve the Convergence of a Genetic Algorithm with a Finite State Machine Genome. A Synthesizable VHDL Coding of a Genetic Algorithm. Genetic Algorithm Model Fitting. A Hybrid Genetic Algorithm, Simulated Annealing and Tabu Search Heuristics for Vehicle Routing Problems with Time Windows. Doing Gas with GAGS. Memory Efficiency and Speed Enhancement Code for Gas. Adaptive Portfolio Trading Strategies. Population Size, Building Blocks, Fitness Landscape and Genetic Algorithm Search Efficiency in Combinatorial Optimization: An Empirical Study. Experimental Results on the Effects of Multi-Parent Recombination: An Overview. Appendix. NTI/Sales Copy
A Lamarckian Evolution Strategy for Genetic Algorithms. The Generalization and Solving of Timetable Scheduling Problems. Implementing Fast and Flexible Parallel Genetic Algorithms. Pattern Evolver. Matrix-Based GA Representations in a Model of Evolving Animal Communication. Algorithms to Improve the Convergence of a Genetic Algorithm with a Finite State Machine Genome. A Synthesizable VHDL Coding of a Genetic Algorithm. Genetic Algorithm Model Fitting. A Hybrid Genetic Algorithm, Simulated Annealing and Tabu Search Heuristics for Vehicle Routing Problems with Time Windows. Doing Gas with GAGS. Memory Efficiency and Speed Enhancement Code for Gas. Adaptive Portfolio Trading Strategies. Population Size, Building Blocks, Fitness Landscape and Genetic Algorithm Search Efficiency in Combinatorial Optimization: An Empirical Study. Experimental Results on the Effects of Multi-Parent Recombination: An Overview. Appendix. NTI/Sales Copy
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