Artificial ant

Synonyms AI3-04466 Artificial ant oil Artificial oil of ants Bran oil BRN 0105755 Caswell No. 466 CCRIS 1044 EINECS 202-627-7 EPA pesticide chemical code 043301 FEMA No. 2489 Fural 2-Furaldehyde Furale 2-Furanaldehyde 2-Furancarbonal 2-Furancarboxal-dehyde Furfuraldehyde Furfurol Furfurole Furole a-Furole 2-Furylmethanal NCI-C56177 NSC 8821 Pyromucic aldehyde Quakeral RCRA waste number U125 UN 1199. [Pg.604]

SYNS ARTIFICIAL ANT OIL FEM No. 2489 FUR. L 2-FURALDEHYDE FURALE 2-FURANALDEHYDE 2-FUR NCARBONAL 2-FURANCARBOXALDEHYDE 2-FURFURAL FURFURALDEHYDE FURFUR.ALE (ITALLAN) FURFUROL FURFUROLE 2-FURIL-METANALE (ITALIAN) FUROLE a-FUROLE 2-FURYL-METHANAL NCI-C56177 PYROMUCIC ALDEHYDE RCRA WASTE NUMBER U125... [Pg.684]

Izrailev, S. and Agrafiotis, D.K. (2001a) A new method for building regression tree models for QSAR based on artificial ant colony systems./. Chem. Inf. Comput. Sci., 41, 176-180. [Pg.1078]

ARTIFICIAL ANT OIL (98-01-1) Forms explosive mixture with air (flash point 140°F/60°C). Strong acids or strong bases may cause polymerization. Violent reaction with strong acids, alkalis, sodium bicarbonate. Incompatible with ammonia, aliphatic amines, alkanolamines, aromatic amines, oxidizers. Attacks many plastics and coatings. [Pg.139]

Synonyms cas es-oi-i artificial ant oil fural furale 2-furaldehyde 2-furanaldehyde 2-... [Pg.147]

Synonyms Artificial ant oil Artificial oil of ants Fural 2-Furaklehyde Furale 2-Furanaldehyde 2-Furancarbonal 2-Furancarboxaldehyde 2-Fur-fural Furfuraldehyde Futfurol Fuifurole Furole a-Furole 2-Futyl methanal Pyromucic aldehyde Classification Cyclic aldehyde Empirical CsHA Frnnula C,H,OCHO... [Pg.1124]

Artichoke leaves. See Artichoke (Cyanara scolymus) leaves Artie Mist . See Talc Artificial almond oil. See Benzaldehyde Artificial ant oil. See Furfural Artificial barite. See Barium sulfate Artificial cinnabar. See Mercury sulfide (ic), red Artificial cinnamon oil. See Cinnamon (Cinnamomum cassia) oil Artificial gum. See Dextrin Artificial heavy spar. See Barium sulfate Artificial musk ambrette. See Musk ambrette... [Pg.349]

Ant Colony Optimization (ACO) meta-heuristics is one such technique that is based on the cooperative forging strategy of real ants [1],[2]. In this approach, several artificial ants perform a sequence of operations iteratively. Ants are guided by a greedy heuristic algorithm which is problem dependenf that aid their search for better solutions iteratively. Ants seek solutions using information gathered previously to... [Pg.115]

Solution construction In BAS, artificial ants construct solutions by tfaversing the mapping graph as shown in Fig.2 below. [Pg.120]

The ant algorithm reproduces this behaviour of ant colonies in the pheromone trail update procedure. The search for a solution is terminated, when the maximum number of iterations has been reached or the maximum computational time has been achieved. Then, the shortest trajectoiy is selected from all of the solutions found by the artificial ants. Afterwards, the best solution is presented in a graphical form and the new course of the own ship at every segment of the determined safe, optimal trajectory is displayed. If the algorithm has not found a solution, such information is displayed after the calculations are completed. The flowchart of the ant algorithm for safe ship trajectoiy planning is shown in Figure 1. [Pg.154]

The modification is the calculation of the own ship speed reduction manoeuvre, if after the maximum computational time the solution concerning the course alterations has not been found by the artificial ants. The speed is decreased by 25% and the procedure of checking, whether the new own ship trajectory with reduced speed does not collide with the trajectories of the target ships, is carried out. [Pg.155]

The use of an ant algorithm for collision avoidance at sea allows the determination of safe, optimal trajectory of a ship hy the use of a collective action of agents - artificial ants, which shows that the indirect mechanism of communication between agents hy modification of the environment, with the right balance between exploration and exploitation, is an effective method to solve the problem of global optimization. [Pg.160]

S.I. Pedersen, T. Skov, T. Randen and L. Spnneland (2004) Automatic fault extraction using artificial ants. This volume. [Pg.46]

Automatic Fault Extraction Using Artificial Ants... [Pg.107]

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