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Metaheuristics
- It is a demostration of metaheuristics!
METSlib
- METSlib提供基本的启发式算法框架，包括局部搜索及其变体，模拟退火和禁忌搜索等。 -METSlib implements the basics of some metaheuristics algorithm: * Random Restart Local Search * Variable Neighborhood Search * Iterated Local Search * Simulated Annealing (with line
EssentialsofMetaheuristics.pdf
- This is a set of lecture notes for an undergraduate class on metaheuristics
Ant-Colony-Optimisation-for-vehicle-routing-probl
- Ant Colony Optimisation for vehicle routing problems: from theory to applications. Keywords: Metaheuristics, Ant Colony Optimisation, Vehicle Routing Problem.
metaheuristics-algo-Monkey-search
- implementation of the Monkey search optimization algorithme
METAHEURISTICS-FROM-DESIGN-TO-IMPLEMENTATION
- This book is "METAHEURISTICS FROM DESIGN TO IMPLEMENTATION"
a-brief-survey-on-hybrid-metah
- A BRIEF SURVEY ON HYBRID METAHEURISTICS: The term metaheuristic was introduced to define heuristic methods that can be applied to a wide set of different problems. In other words, a metaheuristic can be seen as a general algorithmic framework whi
Handbook-of-Metaheuristics
- 启发式算法手册：详细介绍启发式算法的一本英文书籍。-The heuristic algorithm Manual: a heuristic algorithm described in detail English books.
generateQ
- what i present there is part of the source code to solve problems with metaheuristics like tabu search, simulated annealing,genetic algorithms, etc
DE
- In computer science, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Such methods are commonly known as metaheuristics as they make few
ant-colony-optimization
- Large-scale problems are nonlinear problems that need metaheuristics, or global optimization algorithms. This paper reviews nature-inspired metaheuristics, then it introduces a framework named Competitive Ant Colony Optimization inspired by the chemi
jmetal4.4.tar
- Jmetal for multiobjective optimization with metaheuristics
jMetal-master
- jmetal5.0The jMetal project started in 2006 as the result of our need of having a easy to use, flexible, extensible and portable multi-objective optimization framework with metaheuristics.-Document which describes to Nondominated Sorting Genetic Algo
ypea121-mopso
- Home Metaheuristics Machine Learning Multiobjective Optimization Fuzzy Systems Applications Home \ Multiobjective Optimization \ Multi-Objective PSO in MATLAB ypea121-mopso Multi-Objective PSO in MATLAB in Multiob
Metaheuristics-for-the-vrp
- Metaheuristics for the VRP with pick-up and deliver. This problem was solved using 5 metaheuristics which are detailed in the WinRAR file.
jia2016
- Metaheuristic models have proven very flexible in tackling optimization problems and, in particular, in image processing . The aim of this work is the analysis and comparison of possible metaheuristics that allow oneto evolve a generic segmentation a
Metaheuristics
- Metaheuristics book (Artificial Bee Colony, Ant Colony Optimization)
ant-colony-optimization
- 蚁群优化是一组概率性元启发式算法和智能优化算法，受蚂蚁社会行为的启发。(Ant Colony Optimization (ACO) are a set of probabilistic metaheuristics and an intelligent optimization algorithms, inspired by social behavior of ants.)