Paper ~ Which Algorithm Should I Choose At Any Point of the
... overcomes the above limitations. It does not require the global optimal solution to be known; it works on a single problem instance with little or no a prior knowledge; it does not introduce any new control parameter; it uses a winner take all strategy rather than probability matching; as the algori ...
... overcomes the above limitations. It does not require the global optimal solution to be known; it works on a single problem instance with little or no a prior knowledge; it does not introduce any new control parameter; it uses a winner take all strategy rather than probability matching; as the algori ...
Evolutionary Design of FreeCell Solvers
... are an excellent problem domain for artificial intelligence research, because they can be parsimoniously described yet are often hard to solve [1]. As such, puzzles have been the focus of substantial research in AI during the past decades (e.g., [2], [3]). Nonetheless, quite a few NP-Complete puzzle ...
... are an excellent problem domain for artificial intelligence research, because they can be parsimoniously described yet are often hard to solve [1]. As such, puzzles have been the focus of substantial research in AI during the past decades (e.g., [2], [3]). Nonetheless, quite a few NP-Complete puzzle ...
International Electrical Engineering Journal (IEEJ)
... Abstract- Economic load dispatch (ELD) in the operation of electric power system is an essential task, since it is required to determine the optimal output of electricity generating facilities, supplying the power to meet load demand at minimum cost while satisfying transmission and operational cons ...
... Abstract- Economic load dispatch (ELD) in the operation of electric power system is an essential task, since it is required to determine the optimal output of electricity generating facilities, supplying the power to meet load demand at minimum cost while satisfying transmission and operational cons ...
Numerical Methods for Computing Casimir
... generality remain in widespread use (and new variations are continually developed) [1–8]. Semi-analytical approaches also remain important, especially perturbative techniques to decompose problems containing widely differing length scales (the most challenging situation for brute-force numerics). Ne ...
... generality remain in widespread use (and new variations are continually developed) [1–8]. Semi-analytical approaches also remain important, especially perturbative techniques to decompose problems containing widely differing length scales (the most challenging situation for brute-force numerics). Ne ...
E - Read
... – 2n+o(n) by Bent and John (STOC 1985) – (2+2-80)n by Dor and Zwick (FOCS 1996, SIAM Journal on Discrete Math 2001). ...
... – 2n+o(n) by Bent and John (STOC 1985) – (2+2-80)n by Dor and Zwick (FOCS 1996, SIAM Journal on Discrete Math 2001). ...
Multi-Objective Optimization Using Genetic Algorithms
... Step 6. If the stopping criterion is satisfied, terminate the search and return the current population, else, set t=t+1 go to Step 2. 4. Multi-objective Genetic Algorithms Being a population based approach, GA are well suited to solve multi-objective optimization problems. A generic single-objective ...
... Step 6. If the stopping criterion is satisfied, terminate the search and return the current population, else, set t=t+1 go to Step 2. 4. Multi-objective Genetic Algorithms Being a population based approach, GA are well suited to solve multi-objective optimization problems. A generic single-objective ...
Modified and Ensemble Intelligent Water Drop
... friend Dr. Mohammad Azmi Al-Betar for his help and useful discussion during the course of this research. Indeed, without Allah then my parents’ prayers, I could not have completed this research. My special thanks to my beloved parents for their continued supports, encouragements, and prayers. Thank ...
... friend Dr. Mohammad Azmi Al-Betar for his help and useful discussion during the course of this research. Indeed, without Allah then my parents’ prayers, I could not have completed this research. My special thanks to my beloved parents for their continued supports, encouragements, and prayers. Thank ...
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
... to large size of electrical power systems problems, it is not easy for formulation and application of optimization techniques to these problems. The formulation of optimization technique to a loss minimization problem needs to inculcate the assumptions and specific conditions related to the electric ...
... to large size of electrical power systems problems, it is not easy for formulation and application of optimization techniques to these problems. The formulation of optimization technique to a loss minimization problem needs to inculcate the assumptions and specific conditions related to the electric ...
Lecture 2. Co-Evolution
... Often used in creative design or creative problem solving May be time-consuming Case1: no co-evolution ...
... Often used in creative design or creative problem solving May be time-consuming Case1: no co-evolution ...
Presentation
... Simulations can be more accurate and informative than high-level or mathematical models of an event Probabilistic simulations show us what can happen under a wide variety of conditions Many interesting problems can be solved very well if we simulate, evaluate, and evolve ...
... Simulations can be more accurate and informative than high-level or mathematical models of an event Probabilistic simulations show us what can happen under a wide variety of conditions Many interesting problems can be solved very well if we simulate, evaluate, and evolve ...
GA-FreeCell: Evolving Solvers for the Game of FreeCell
... A* / hill-climbing search algorithm called staged deepening (henceforth referred to as the HSD algorithm). The HSD algorithm, along with a heuristic function, forms Heineman’s FreeCell solver (we shall distinguish between the HSD algorithm, the HSD heuristic, and the HSD solver—which includes both). ...
... A* / hill-climbing search algorithm called staged deepening (henceforth referred to as the HSD algorithm). The HSD algorithm, along with a heuristic function, forms Heineman’s FreeCell solver (we shall distinguish between the HSD algorithm, the HSD heuristic, and the HSD solver—which includes both). ...
Algorithm GENITOR
... signals that reach the next Si stations. Note that Si is a r.v. dependent on power and availability of retransmitter amplifiers. The aim of the system is to provide propagation of a signal from transmitter to receiver. The LMCCS was first introduced by Hwang & Yao [1] as a generalization of linear ...
... signals that reach the next Si stations. Note that Si is a r.v. dependent on power and availability of retransmitter amplifiers. The aim of the system is to provide propagation of a signal from transmitter to receiver. The LMCCS was first introduced by Hwang & Yao [1] as a generalization of linear ...
nature of metacognition in a dynamic geometry
... and an instrument. A technical system does not immediately constitute a tool for the user; it becomes an instrument when the subject has been able to appropriate it for himself. In other words, the artifact is the object that is used as a tool, whereas the instrument involves techniques and schemes ...
... and an instrument. A technical system does not immediately constitute a tool for the user; it becomes an instrument when the subject has been able to appropriate it for himself. In other words, the artifact is the object that is used as a tool, whereas the instrument involves techniques and schemes ...
Research Statement - Singapore Management University
... Real-world decision making often involves multiple decision-makers (agents) reaching agreement on a joint set of decisions. In cooperative setting, I developed a unified combinatorial auction framework for solving decentralized resource allocation and scheduling problems. In this framework, jobs are ...
... Real-world decision making often involves multiple decision-makers (agents) reaching agreement on a joint set of decisions. In cooperative setting, I developed a unified combinatorial auction framework for solving decentralized resource allocation and scheduling problems. In this framework, jobs are ...
An Eulerian-Lagrangian method for optimization problems governed
... In recent years, there has been tremendous progress in both analytical and numerical studies of problems of type (1.1a), (1.1b), see, e.g., [1–3,8–10,13,18,19,21– 24,28,40,44,45]. Its solution relies on the property of the evolution operator S t : u 0 (·, ·) → u(·, ·, t) = St u 0 (·, ·) for (1.1b). ...
... In recent years, there has been tremendous progress in both analytical and numerical studies of problems of type (1.1a), (1.1b), see, e.g., [1–3,8–10,13,18,19,21– 24,28,40,44,45]. Its solution relies on the property of the evolution operator S t : u 0 (·, ·) → u(·, ·, t) = St u 0 (·, ·) for (1.1b). ...
Variations of Diffie
... p be a large prime number discrete logarithm problem defined in Zp* is hard G ∈ Zp* be a cyclic group of prime order q g is assumed to be a generator of G (is prime order) security parameters p, q are defined as the fixed form p=2q+1 and ord(g)=q ...
... p be a large prime number discrete logarithm problem defined in Zp* is hard G ∈ Zp* be a cyclic group of prime order q g is assumed to be a generator of G (is prime order) security parameters p, q are defined as the fixed form p=2q+1 and ord(g)=q ...
A High-Level Categorization of Explanations: A Case Study with a Tutoring System
... contains no extra information. In order to learn about why such a move does not lead to success, a user has to try out this move, and sometimes several of them in sequence, and to re-start the search engine. Such an exploration is tedious, and it stands in contrast to good human analyses, where crit ...
... contains no extra information. In order to learn about why such a move does not lead to success, a user has to try out this move, and sometimes several of them in sequence, and to re-start the search engine. Such an exploration is tedious, and it stands in contrast to good human analyses, where crit ...
Pseudospectral Collocation Methods for Fourth Order Di
... to be compatible to avoid problems of ill-conditioning. This is similar to the BabuskaBrezzi condition required for the corresponding nite element approximation spaces. In two dimensions it is possible to avoid this diculty by reformulating the governing equations in terms of a stream function. T ...
... to be compatible to avoid problems of ill-conditioning. This is similar to the BabuskaBrezzi condition required for the corresponding nite element approximation spaces. In two dimensions it is possible to avoid this diculty by reformulating the governing equations in terms of a stream function. T ...
slides
... • Intensification: giving priority to attributes of a set of elite solutions (usually in weighted probability manner) • Diversification: Discouraging attributes of elite solutions in selection functions in order to diversify the search to other areas of solution space; ...
... • Intensification: giving priority to attributes of a set of elite solutions (usually in weighted probability manner) • Diversification: Discouraging attributes of elite solutions in selection functions in order to diversify the search to other areas of solution space; ...
Paper - George Karypis
... the top log p levels 1 , where p is the number of processors used to solve the problem. The portions of this binary supernodal tree are assigned to processors using a subtree-to-subcube strategy illustrated in Figure 3, where eight processors are used to solve the example matrix of Figure 2. The pr ...
... the top log p levels 1 , where p is the number of processors used to solve the problem. The portions of this binary supernodal tree are assigned to processors using a subtree-to-subcube strategy illustrated in Figure 3, where eight processors are used to solve the example matrix of Figure 2. The pr ...