Swarm intelligence and gravitational search algorithm for multi-objective optimization of synthesis gas production

Applied Energy

Volumn 103, Issue , 2013, Pages 368-374

  Ganesan, T ^a   Elamvazuthi, I ^a   Ku Shaari, Ku Zilati ^a   Vasant, P ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Gravitational Search Algorithm (GSA); Multi objective (MO); Normal Boundary Intersection (NBI); Particle Swarm Optimization (PSO); Performance metrics; Synthesis gas

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARBON DIOXIDE; CARBON MONOXIDE; CHEMICAL INDUSTRY; LEARNING ALGORITHMS; METHANE; METHANOL; PARTICLE SWARM OPTIMIZATION (PSO); STEAM REFORMING; SYNTHESIS GAS; SYNTHESIS GAS MANUFACTURE;

CARBON DIOXIDE REFORMING; CARBON MONOXIDE SELECTIVITY; COMPARATIVE STUDIES; EMPIRICAL MODEL; GRAVITATIONAL SEARCH ALGORITHMS; HIGHER HYDROCARBONS; METHANE CONVERSIONS; MULTI OBJECTIVE; MULTI OBJECTIVE OPTIMIZATIONS (MOO); NORMAL BOUNDARY INTERSECTIONS; PERFORMANCE METRICS; PROBLEM FORMULATION; SWARM INTELLIGENCE; SYN GAS; SYNTHESIS GAS PRODUCTION;

MULTIOBJECTIVE OPTIMIZATION;

ALGORITHM; AMMONIA; CARBON DIOXIDE; CARBON MONOXIDE; CHEMICAL INDUSTRY; EMPIRICAL ANALYSIS; GAS PRODUCTION; HYDROGEN; INDUSTRIAL TECHNOLOGY; METHANE; METHANOL; MULTIOBJECTIVE PROGRAMMING; OPTIMIZATION; OXIDATION; PERFORMANCE ASSESSMENT;

EID: 84871717797     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2012.09.059     Document Type: Article

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