The following pages link to Shengxiang Yang (Q207257):
Displaying 24 items.
- Analysis of fitness landscape modifications in evolutionary dynamic optimization (Q507753) (← links)
- A particle swarm optimization based memetic algorithm for dynamic optimization problems (Q601042) (← links)
- Experimental study on population-based incremental learning algorithms for dynamic optimization problems (Q816849) (← links)
- Bi-goal evolution for many-objective optimization problems (Q896429) (← links)
- An improved constraint satisfaction adaptive neural network for job-shop scheduling (Q969749) (← links)
- Learning behavior in abstract memory schemes for dynamic optimization problems (Q1034783) (← links)
- An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection (Q1999173) (← links)
- A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation (Q2004708) (← links)
- Dynamic multi-objective optimization for multi-objective vehicle routing problem with real-time traffic conditions (Q2095973) (← links)
- An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization (Q2100188) (← links)
- A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization (Q2127122) (← links)
- An adaptation reference-point-based multiobjective evolutionary algorithm (Q2215143) (← links)
- AREA: an adaptive reference-set based evolutionary algorithm for multiobjective optimisation (Q2660864) (← links)
- A dynamic multi-objective evolutionary algorithm based on intensity of environmental change (Q2663531) (← links)
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- (Q4449772) (← links)
- High-dimensional multi-objective optimization strategy based on decision space oriented search (Q5209979) (← links)
- Metaheuristics for dynamic combinatorial optimization problems (Q5413305) (← links)
- A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems (Q5497415) (← links)
- A new adaptive neural network and heuristics hybrid approach for job-shop scheduling (Q5945329) (← links)
- Global and local feasible solution search for solving constrained multi-objective optimization (Q6074940) (← links)
- A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems (Q6146021) (← links)
- A Multiobjective State Transition Algorithm Based on Decomposition (Q6367264) (← links)
- Intelligent optimization. Principles, algorithms and applications (Q6582147) (← links)
