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Soft Computation
editto be continued
edit- Notions
- Euclidean space
- Computational complexity theory
- Optimization (mathematics)
- Optimization (computer science)
- Global optimization
- Local search (optimization)
- Local optimum
- Parameter space
- Search space
- Distance matrix
- Adjacency matrix
- Incidence matrix
- Maxima and minima
- Markov chain
- Turing completeness
- Fuzzy control system
- Collective intelligence
- Emergence
- Flocking (behavior)
- Artificial neural network
- Type-2 fuzzy sets and systems
- Rough set
- Facility location
- Thermodynamic equilibrium
- Paradigms
- Simulated annealing
- Metaheuristic
- Swarm intelligence
- Crowd simulation
- Swarm robotics
- Cellular automaton
- Evolutionary computation
- Neural network
- Chaos theory
- Bayesian network
- Fuzzy logic
- Support vector machine
- Multi-agent system
- Control theory
- Computational fluid dynamics
- IOSO
- Differential evolution
- Expert system
- Quantum annealing
- Graph Theory
- Graph theory
- Graph drawing
- Graph (data structure)
- Spectral graph theory
- Graph cuts in computer vision
- Graph partition
- Graph coloring
- Methods
- Tabu search
- Brute-force search
- Reactive search
- Adaptive simulated annealing
- Evolutionary algorithm
- Conjugate gradient method
- Sequential quadratic programming
- Gradient descent
- Newton's method
- Bees algorithm
- Genetic algorithm
- Memetic algorithm
- Cross-entropy method
- Guided Local Search
- Greedy randomized adaptive search procedure
- Estimation of distribution algorithm
- AgentSheets
- Problems
- Travelling salesman problem
- Particle swarm optimization
- Combinatorial optimization
- Ant colony optimization
- Automatic label placement
- Labeling (map design)
- Multidisciplinary design optimization
- Repulsive particle swarm optimization
- Set cover problem
- Quadratic assignment problem
- Independent set problem
- Bin packing problem
- Generalized assignment problem
- Place and route
- Motion planning
- Pattern recognition
- Single machine scheduling