Efficient and Accurate Parallel Genetic Algorithms
Efficient and Accurate Parallel Genetic Algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A parallel genetic algorithm to solve the set-covering problem
Computers and Operations Research
A massively parallel architecture for distributed genetic algorithms
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
A dynamic holding strategy in public transit systems with real-time information
Applied Intelligence
A combined fuzzy MCDM approach for selecting shopping center site: An example from Istanbul, Turkey
Expert Systems with Applications: An International Journal
Parallel genetic algorithm in bus route headway optimization
Applied Soft Computing
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
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This study optimizes the distribution of shopping centers (SCs) to satisfy vendors and shoppers in terms of realizing the shortest car-based shopping trips in an urban area. First, modal split between car and transit is estimated, and then the interaction between land-use and transportation in the context of choice of shopping destinations is modeled to build an optimal function. Second, parallel genetic algorithm (PGA) is used to solve the optimal problem and several problems in application of GA are discussed. Finally, a case study which examines the effectiveness of the method, is carried out.