Pages that link to "Item:Q2519634"
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The following pages link to A novel population initialization method for accelerating evolutionary algorithms (Q2519634):
Displaying 26 items.
- An opposition-based chaotic GA/PSO hybrid algorithm and its application in circle detection (Q356078) (← links)
- Studying the effect of using low-discrepancy sequences to initialize population-based optimization algorithms (Q377716) (← links)
- Quantum behaved particle swarm optimization with neighborhood search for numerical optimization (Q473691) (← links)
- An evolutionary strategy based on partial imitation for solving optimization problems (Q1620009) (← links)
- A hybrid genetic approach for solving an integrated multi-objective operating room planning and scheduling problem (Q1652429) (← links)
- Efficient solution of many instances of a simulation-based optimization problem utilizing a partition of the decision space (Q1657403) (← links)
- Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints (Q1694234) (← links)
- MAKHA -- a new hybrid swarm intelligence global optimization algorithm (Q1736664) (← links)
- Extended prey-predator algorithm with a group hunting scenario (Q1748498) (← links)
- A multi-start opposition-based particle swarm optimization algorithm with adaptive velocity for bound constrained global optimization (Q1937953) (← links)
- A genetic algorithm with a self-reproduction operator to solve systems of nonlinear equations (Q2089889) (← links)
- Grammatically uniform population initialization for grammar-guided genetic programming (Q2156460) (← links)
- Enhancing the performance of differential evolution using orthogonal design method (Q2379025) (← links)
- Opposition-based genetic algorithm for community detection in social networks (Q2676839) (← links)
- (Q3193588) (← links)
- Seeding the initial population with feasible solutions in metaheuristic optimization of steel trusses (Q5058700) (← links)
- Opposition-Based Computing (Q5302471) (← links)
- Improving the Exploration Ability of Ant-Based Algorithms (Q5302477) (← links)
- Differential Evolution Via Exploiting Opposite Populations (Q5302478) (← links)
- Evolving Opposition-Based Pareto Solutions: Multiobjective Optimization Using Competitive Coevolution (Q5302480) (← links)
- Evolutionary Multi-Criterion Optimization (Q5709883) (← links)
- An Overview of Multi-population Methods for Dynamic Environments (Q5861762) (← links)
- Initialization of metaheuristics: comprehensive review, critical analysis, and research directions (Q6056893) (← links)
- The influence of fitness landscape characteristics on particle swarm optimisers (Q6137184) (← links)
- An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors (Q6552680) (← links)
- Approximation in the extended functional tensor train format (Q6587236) (← links)
