scientific article; zbMATH DE number 2046112
From MaRDI portal
Publication:4451075
zbMath1047.68160MaRDI QIDQ4451075
Publication date: 23 February 2004
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Dynamic programming (90C39)
Related Items (26)
Etiology of phenotype switching strategy in time varying stochastic environment ⋮ Exploring Target Change Related Fitness Reduction in the Moving Point Dynamic Environment ⋮ An evolutionary algorithm for dynamic multi-objective optimization ⋮ Dynamic vehicle routing using genetic algorithms ⋮ Benchmarking the performance of genetic algorithms on constrained dynamic problems ⋮ Using competitive population evaluation in a differential evolution algorithm for dynamic environments ⋮ Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of change ⋮ Multi-strategy ensemble particle swarm optimization for dynamic optimization ⋮ An ant colony algorithm aimed at dynamic continuous optimization ⋮ Parallel metaheuristics: recent advances and new trends ⋮ Global optimization numerical strategies for rate-independent processes ⋮ Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization ⋮ Local models-an approach to distributed multi-objective optimization ⋮ A survey on metaheuristics for stochastic combinatorial optimization ⋮ Robust optimization - a comprehensive survey ⋮ Learning behavior in abstract memory schemes for dynamic optimization problems ⋮ Evolutionary and population-based methods versus constructive search strategies in dynamic combinatorial optimization ⋮ A practical approach for robust and flexible vehicle routing using metaheuristics and Monte Carlo sampling ⋮ A novel evolutionary algorithm for designing robust analog filters ⋮ Unnamed Item ⋮ \textit{In silico} implementation of evolutionary paradigm in therapy design: towards anti-cancer therapy as Darwinian process ⋮ A classification-based heuristic approach for dynamic environments ⋮ Learning Automata for Online Function Evaluation Management in Evolutionary Multi-population Methods for Dynamic Optimization Problems ⋮ Function Management in Multi-population Methods with a Variable Number of Populations: A Variable Action Learning Automaton Approach ⋮ A new population based adaptive domination change mechanism for diploid genetic algorithms in dynamic environments ⋮ Experimental study on population-based incremental learning algorithms for dynamic optimization problems
This page was built for publication: