A chaos-based evolutionary algorithm for general nonlinear programming problems
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Publication:509298
DOI10.1016/j.chaos.2016.01.007zbMath1394.90528OpenAlexW2266936746MaRDI QIDQ509298
A. A. Mousa, S. M. Nasr, Mohammed A. El-Shorbagy
Publication date: 9 February 2017
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2016.01.007
Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)
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Cites Work
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- A self-adaptive chaotic differential evolution algorithm using gamma distribution for unconstrained global optimization
- Real-coded genetic algorithm with uniform random local search
- Chaos embedded particle swarm optimization algorithms
- Integrating particle swarm optimization with genetic algorithms for solving nonlinear optimization problems
- Differential evolution. A practical approach to global optimization. With CD-ROM.
- A hybrid chaos-particle swarm optimization algorithm for the vehicle routing problem with time window
- Nonlinear optimization with engineering applications
- Solving constrained optimization problems using a novel genetic algorithm
- A simulated annealing technique for multi-objective simulation optimization
- ``Neural computation of decisions in optimization problems
- A two-dimensional mapping with a strange attractor
- Scatter search. Methodology and implementation in C. With CD-ROM.
- A solution to the optimal power flow using genetic algorithm
- Evolutionary algorithms and chaotic systems
- An optimization algorithm based on chaotic behavior and fractal nature
- A modified particle swarm optimizer with dynamic adaptation
- An improved particle swarm optimization algorithm combined with piecewise linear chaotic map
- Improved particle swarm optimization combined with chaos
- Continuous scatter search: an analysis of the integration of some combination methods and improvement strategies
- A combined genetic algorithm-fuzzy logic controller (GA--FLC) in nonlinear programming
- Using genetic algorithm and TOPSIS technique for multiobjective transportation problem: a hybrid approach
- Chaos in Dynamical Systems
- Evolutionary computation techniques for nonlinear programming problems
- Simple mathematical models with very complicated dynamics
- Advances in Neural Networks – ISNN 2005
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