Representations for genetic and evolutionary algorithms. With a foreword by David E. Goldberg.
From MaRDI portal
Publication:1874029
zbMath1030.68083MaRDI QIDQ1874029
Publication date: 22 May 2003
Published in: Studies in Fuzziness and Soft Computing (Search for Journal in Brave)
Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10) Knowledge representation (68T30) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30) General topics in the theory of data (68P01)
Related Items (28)
ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms ⋮ New insights on neutral binary representations for evolutionary optimization ⋮ A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms ⋮ Meta-heuristics for placing strategic safety stock in multi-echelon inventory with differentiated service times ⋮ Low-latency liquidity inefficiency strategies ⋮ Effect of solution representations on tabu search in scheduling applications ⋮ A biased random-key genetic algorithm for the capacitated minimum spanning tree problem ⋮ Optimal configuration of power distribution networks with variable renewable energy resources ⋮ Lagrangean bounds for the optimum communication spanning tree problem ⋮ Evolutionary optimization: pitfalls and booby traps ⋮ Competent genetic algorithms for weighing matrices ⋮ Learning Structure Illuminates Black Boxes – An Introduction to Estimation of Distribution Algorithms ⋮ Quotient geometric crossovers and redundant encodings ⋮ Random Gray code and its performance analysis for image hashing ⋮ On the roles of semantic locality of crossover in genetic programming ⋮ Evolutionary algorithms and dynamic programming ⋮ Studying the Effects of Dual Coding on the Adaptation of Representation for Linkage in Evolutionary Algorithms ⋮ Evolving quantum circuits at the gate level with a hybrid quantum-inspired evolutionary algorithm ⋮ Matching inductive search bias and problem structure in continuous Estimation-of-Distribution Algorithms ⋮ Global Optimization in Practice:State of the Art and Perspectives ⋮ Solving the optimum communication spanning tree problem ⋮ Static and self-adjusting mutation strengths for multi-valued decision variables ⋮ The Gestalt heuristic: emerging abstraction to improve combinatorial search ⋮ Cover-encodings of fitness landscapes ⋮ Global versus local search: the impact of population sizes on evolutionary algorithm performance ⋮ A genetic algorithm for a single product network design model with lead time and safety stock considerations ⋮ Memetic collaborative approaches for finding balanced incomplete block designs ⋮ Model Development and Optimization for Space Engineering: Concepts, Tools, Applications, and Perspectives
This page was built for publication: Representations for genetic and evolutionary algorithms. With a foreword by David E. Goldberg.
