TRACKS AND THEMES

Prospective authors are requested to submit high quality original and unpublished full research papers in all areas of advanced optimization techniques for real world applications for presentation during the conference. Any theoretical, empirical, or experimental work on optimization models and related mathematics, solution methods, and systems is encouraged. The purpose is to aid in the understanding, development, and application of optimization technologies for real-time problem solutions.

TRACK 1: INTELLIGENT OPTIMIZATION
  • Ant colony optimisation
  • Genetic algorithms
  • Machine learning algorithms
  • Predictive modelling
  • Parallel and distributed computation
  • Swarm and evolutionary optimization techniques
  • Bio inspired computations
  • Nature inspired computations
  • Tabu search
  • Quantum evolutionary algorithm
TRACK 2: CONVENTIONAL OPTIMIZATION TECHNIQUES
  • Single and multi-objective optimization
  • Computational complexity and optimization
  • Continuous or discrete optimization
  • Structural optimization
  • Simulation-based optimization Techniques
  • Topology optimization
  • Combinatorial optimization and mathematical programming
  • Multi-objective programming
  • Multi-criteria decision making
  • Metaheuristic optimization algorithms
  • Hybrid algorithms
  • Dynamic optimization
  • Continuous optimization
TRACK 3: FUZZY OPTIMIZATION TECHNIQUES
  • Fuzzy linear programming
  • Fuzzy neural networks
  • Fuzzy multi-objective programming
  • Fuzzy integer programming
  • Fuzzy dynamic programming
  • Fuzzy-rough sets-based decision support algorithm
  • Possibilistic linear programming
  • Fuzzy learning methods
  • Fuzzy preference modelling
  • Fuzzy nonlinear programming
  • Hesitant intuitionistic fuzzy algorithm
  • Fuzzy genetic algorithm
  • Fuzzy systems
  • Penalty function based approach
  • Fuzzy multi-criteria decision making
TRACK 4: INTELLIGENT COMPUTING AND APPLICATIONS
  • Artificial neural networks
  • Artificial Immune Systems
  • Evolutionary computation
  • DNA Computing
  • Fuzzy computing
  • Intelligent computing for intelligent systems,
  • Intelligent computing for internet of things and big data
  • Intelligent computing applications in block chain and interoperability
  • Intelligent computing for 5g technology and modern networks
  • Machine learning and deep learning
  • Intelligent information system optimization
  • Membrane computing,
  • Learning theory
  • Quantum computing
TRACK 5: META-HEURISTICS OPTIMIZATION
  • Meta-heuristics: Applications and Innovation
  • Applications of algorithms inspired by the natural law of swarming behaviour
  • Applications of ecology based computation algorithms
  • Innovation and improvements in algorithms inspired by natural law of swarming behaviour
  • Innovation and improvements in ecology-based computation algorithms
TRACK 6: SUSTAINABLE OPTIMIZATION AND COMPUTING
  • Intelligent computing for optimizing energy harvesting and distribution
  • Application of intelligent optimizing and computing in energy autonomy
  • Intelligent computing for modelling and simulations of renewable energy systems
  • Intelligent optimizing and computing for precision agriculture and precision livestock farming
  • Intelligent optimizing and computing for sustainable smart cities and sustainable development
  • Intelligent optimizing and computing for sustainable materials and manufacturing
  • Intelligent optimizing, decision making and computing for sustainable applications